Publikationen als Liste
via HTML-Converter. URL: https://asouqi.github.io/bibtex-converter/
[1]
M. Evers and D. Weiskopf, “Uncertainty-aware Spectral Visualization,” IEEE Transactions on Visualization and Computer Graphics, 2025.
[2]
M. Evers and L. Linsen, “2D Embeddings of Multi-dimensional Partitionings,” IEEE Transactions on Visualization and Computer Graphics, vol. 31, no. 1, pp. 218–228, 2025.
[3]
M. Evers, S. Leistikow, H. Rave, and L. Linsen, “Interactive Visual Analysis of Spatial Sensitivities,” IEEE Transactions on Visualization and Computer Graphics, vol. 31, no. 9, pp. 5101–5115, 2025.
[4]
R. Bauer, M. Evers, Q. Q. Ngo, G. Reina, S. Frey, and M. Sedlmair, “Voronoi Cell Interface-Based Parameter Sensitivity Analysis for Labeled Samples,” Computer Graphics Forum, p. e70122, 2025.
[5]
R. Akhunov and A. Kolb, “Resolution-adjusted boundary particles for Adaptive SPH,” The Visual Computer, Sep. 2025.
[6]
M. Evers, F. Rasheed, T. B. Masood, I. Hotz, and D. Weiskopf, “Pie Chart Glyph Visualization of Uncertain Connected Components.” EuroVis 2025 – Posters, 2025.
[7]
H. Sommerhoff and A. Kolb, “Hashed, binned A-buffer for real-time outlier removal and rendering of noisy point clouds,” The Visual Computer, vol. 40, no. 3, pp. 1825–1838, 2024.
[8]
M. Evers et al., “Visual analytics of soccer player performance using objective ratings,” Information Visualization, vol. 23, no. 2, pp. 142–156, 2024.
[9]
A. Görlitz, M. Möller, and A. Kolb, “Coherent Enhancement of Depth Images and Normal Maps Using Second-Order Geometric Models on Weighted Finite Graphs,” in International Conference on 3D Vision (3DV), 2024, pp. 623–630.
[10]
H. Sommerhoff et al., “Task Driven Sensor Layouts – Joint Optimization of Pixel Layout and Network Parameters,” Aug. 2024.
[11]
B. Choubey, H. Sommerhoff, M. Moeller, and A. Kolb, “Variable layout CMOS pixels for end-to-end learning in task specific image sensors,” 2024.
[12]
P. Paetzold, D. Hägele, M. Evers, D. Weiskopf, and O. Deussen, “UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox,” in 2024 IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks, 2024, pp. 48–50.
[13]
M. Evers, D. Hägele, S. Döring, and D. Weiskopf, “Progressive Glimmer: Expanding Dimensionality in Multidimensional Scaling,” 2024.
[14]
H. Rave, M. Evers, T. Gerrits, and L. Linsen, “Region-based Visualization in Hierarchically Clustered Ensemble Volumes,” 2024.
[15]
G. Borrelli, M. Evers, and L. Linsen, “Efficient Adaptive Multiresolution Aggregations of Spatio-temporal Ensembles,” 2024.
[16]
M. Kluge, “Progressive Refinement Imaging by Variable-Resolution Image and Range Fusion,” phdthesis, University of Siegen, 2024.
[17]
D. Presnov et al., “Anatomically Integrated In-Place Visualization of Patient Data for Cooperative Tasks with a Case Study on a Neurosurgical Ward,” Health Informatics Journal, vol. 29, no. 2, 2023.
[18]
M. Kluge, T. Weyrich, and A. Kolb, “Progressive Refinement Imaging with Depth-Assisted Disparity Correction,” Computers & Graphics, vol. 115, pp. 446–460, 2023.
[19]
D. Presnov, M. Berels, and A. Kolb, “Pacemod: parametric contour-based modifications for glyph generation,” The Visual Computer, vol. 40, no. 5, pp. 3371–3384, 2023.
[20]
R. Akhunov and A. Kolb, “Decoupled Boundary Handling in SPH,” The Visual Computer, 2023.
[21]
M. Evers and R. Wittkowski, “An active colloidal system showing parallels to a time crystal,” Physica Scripta, vol. 98, no. 12, p. 125240, 2023.
[22]
M. S. Benkner, M. Krahn, E. Tretschk, Z. Lähner, M. Moeller, and V. Golyanik, “QuAnt: Quantum Annealing with Learnt Couplings,” 2023.
[23]
H. Bhatia et al., “CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes,” 2023.
[24]
P. Roetzer, Z. Lähner, and F. Bernard, “Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching,” 2023.
[25]
M. Evers, M. Böttinger, and L. Linsen, “Interactive Visual Analysis of Regional Time Series Correlation in Multi-field Climate Ensembles,” 2023.
[26]
T. M. Wong, “Optimization-based Enhancement of THz Data and Image,” phdthesis, University of Siegen, 2023.
[27]
D. Presnov, “Visually Integrated Clinical Cooperation – Algorithmic Concepts, Implementation and Evaluation,” phdthesis, University of Siegen, 2023.
[28]
H. Sommerhoff and A. Kolb, “A Generic Framework for Depth Reconstruction Enhancement,” Journal of Imaging, vol. 8, no. 5, p. 138, 2022.
[29]
Z. Negese, H. Bauermeister, M. Moeller, E. Rodolà, and Z. Lähner, “Light-Weight Learning-Based Depth Estimation From A Single Image,” ATHENA Research Book, vol. 1, no. 1, 2022.
[30]
D. Presnov and A. Kolb, “Perception and Quantization Model for Periodic Contour Modifications,” Journal of Imaging, vol. 8, no. 11, Nov. 2022.
[31]
R. Akhunov, R. Winchenbach, and A. Kolb, “Evaluation of particle-based smoothed particle hydrodynamics boundary handling approaches in computer animation,” Computer Animation and Virtual Worlds, p. e2138, 2022.
[32]
M. Evers and L. Linsen, “Multi-dimensional parameter-space partitioning of spatio-temporal simulation ensembles,” Computers & Graphics, vol. 104, pp. 140–151, 2022.
[33]
T. M. Wong, H. Bauermeister, M. Kahl, P. H. Bolívar, M. Möller, and A. Kolb, “ATHENA Research Book Volume 1,” vol. 1, University of Maribor Press, 2022, pp. 13–21.
[34]
T. M. Wong, H. Bauermeister, M. Kahl, P. H. Bolívar, M. Möller, and A. Kolb, “Deep Optimization Prior for THz Model Parameter Estimation,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, pp. 3811–3820.
[35]
A. Görlitz, M. Möller, and A. Kolb, “FL0C: Fast l0 cut pursuit for estimation of piecewise constant functions,” 2022.
[36]
K. Meenrattanakorn and M. Lambers, “Real-Time Caustics Using Cascaded Image-Space Photon Tracing,” Sep. 2022.
[37]
L. Koestler, D. Grittner, M. Moeller, D. Cremers, and Z. Lähner, “Intrinsic Neural Fields: Learning Functions on Manifolds,” 2022.
[38]
K. V. Gandikota, J. Geiping, Z. Lähner, A. Czaplinski, and M. Moeller, “A Simple Strategy to Provable Invariance via Orbit Mapping,” 2022.
[39]
H. Dröge, T. Möllenhoff, and M. Moeller, “Non-smooth energy dissipating networks,” 2022.
[40]
K. V. Gandikota, P. Chandramouli, and M. Moeller, “On Adversarial Robustness of Deep Image Deblurring,” in IEEE International Conference on Image Processing (ICIP), 2022, pp. 3161–3165.
[41]
P. Chandramouli and K. V. Gandikota, “LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models,” 2022.
[42]
H. Dröge, Y. Bahat, F. Heide, and M. Möller, “Explorable Data Consistent CT Reconstruction,” Nov. 2022.
[43]
M. Evers, R. Wittkowski, and L. Linsen, “ASEVis: Visual Exploration of Active System Ensembles to Define Characteristic Measures,” in 2022 IEEE Visualization and Visual Analytics (VIS), 2022, pp. 150–154.
[44]
M. Evers, M. Herick, V. Molchanov, and L. Linsen, “Coherent Topological Landscapes for Simulation Ensembles,” in International Joint Conference on Computer Vision, Imaging and Computer Graphics, 2022, pp. 223–237.
[45]
K. Heimes et al., “Studying the Effect of Tissue Properties on Radiofrequency Ablation by Visual Simulation Ensemble Analysis,” in Eurographics Workshop on Visual Computing for Biology and Medicine, 2022, pp. 53–63.
[46]
M. Lambers, “Parameterization-Independent Importance Sampling of Environment Maps,” Computer Graphics Group, University of Siegen, techreport, Aug. 2022.
[47]
D. M. L. de Boer, F. Namdar, M. Lambers, and A. Cleeremans, “LIVE-streaming 3D Images: A Neuroscience Approach to Full-body Illusions,” Behavior Research Methods, Sep. 2021.
[48]
R. Winchenbach and A. Kolb, “Optimized Refinement for Spatially Adaptive SPH,” ACM Trans. Graphics, vol. 40, no. 1, pp. 1–15, 2021.
[49]
M. S. Benkner, Z. Lähner, V. Golyanik, C. Wunderlich, C. Theobalt, and M. Moeller, “Q-Match: Iterative Shape Matching via Quantum Annealing,” International Conference on Computer Vision (ICCV), Sep. 2021.
[50]
H. Dröge, B. Yuan, R. Llerena, J. Yen, M. Moeller, and A. L. Bertozzi, “Mitral Valve Segmentation using Robust Nonnegative Matrix Factorization,” MDPI Special Issue Inverse Problems and Imaging, 2021.
[51]
H. Dröge and M. Möller, “Learning or Modelling2 An Analysis of Single Image Segmentation based on Scribble Information,” 2021 IEEE International Conference on Image Processing, 2021.
[52]
P. Chandramouli, H. Sommerhoff, and A. Kolb, “Light Field Implicit Representation for Flexible Resolution Reconstruction,” CoRR, vol. 2112, 2021.
[53]
M. Evers, K. Huesmann, and L. Linsen, “Uncertainty-aware Visualization of Regional Time Series Correlation in Spatio-temporal Ensembles,” Computer Graphics Forum, vol. 40, no. 3, pp. 519–530, 2021.
[54]
C. Pomrehn, A. Kolb, and R. Herpers, “Global Gradient-based Representation of Hyperspectral Images for Registration Refinement in Multimodal Microspectroscopy,” 2021.
[55]
M. Lambers, “Selected Topics in Interactive Computer Graphics,” Habilitation Thesis, University of Siegen, 2021.
[56]
R. Winchenbach, “Spatially Adaptive Smoothed Particle Hydrodynamics,” phdthesis, University of Siegen, 2021.
[57]
K. Meenrattanakorn, “Bidirectional Image-Space Ray Tracing for Rendering Caustics,” Master Thesis, Computer Graphics Group, University of Siegen, 2021.
[58]
J. Frohne, “Material Models for Sensor Simulation,” Master Thesis, Computer Graphics Group, University of Siegen, 2021.
[59]
M. Lambers, “Survey of Cube Mapping Methods in Interactive Computer Graphics,” The Visual Computer, vol. 36, no. 5, pp. 1043–1051, 2020.
[60]
M. Kluge, T. Weyrich, and A. Kolb, “Progressive Refinement Imaging,” Computer Graphics Forum (CGF), vol. 39, no. 1, pp. 360–374, Sep. 2020.
[61]
C. Schubert and A. Kolb, “Designing technology, developing theory. Towards a symmetrical approach,” Science, Technology, & Human Values, 2020, doi: 10.1177/0162243920941581.
[62]
P. Chandramouli, K. V. Gandikota, A. Goerlitz, A. Kolb, and M. Moeller, “A Generative Model for Generic Light Field Reconstruction,” IEEE Transactions on Pattern Analysis and Machine Intelligence, p. DOI: 10.1109/TPAMI.2020.3039841, 2020.
[63]
R. Winchenbach and A. Kolb, “Multi-Level Memory Structures for Simulating and Rendering Smoothed Particle Hydrodynamics,” Computer Graphics Forum (CGF), vol. 39, no. 6, pp. 527–541, Sep. 2020.
[64]
R. Winchenbach, R. Akhunov, and A. Kolb, “Semi-Analytic Boundary Handling Below Particle Resolution for Smoothed Particle Hydrodynamics,” ACM Trans. Graphics, vol. 39, no. 6, pp. 1–17, 2020.
[65]
M. Goldblum*, J. Geiping*, A. Schwarzschild, M. Moeller, and T. Goldstein, “Truth or Backpropaganda2 An Empirical Investigation of Deep Learning Theory,” Apr. 2020.
[66]
M. Lambers, “Interactive Creation of Perceptually Uniform Color Maps,” 2020.
[67]
A. Dimitrijević, P. Strobl, M. Lambers, A. Milosavljević, and D. Rančić, “Distortion Optimized Spherical Cube Mapping for Discrete Global Grid Systems,” in Proc. Int. Conf. Information Society and Technology (ICIST), 2020, pp. 109–113.
[68]
J. Geiping, H. Bauermeister, H. Dröge, and M. Moeller, “Inverting Gradients – How easy is it to break privacy in federated learning2,” 2020.
[69]
C. Pomrehn, D. Klein, A. Kolb, R. Herpers, and P. Kaul, “Supervised classification of mono-modal and multimodal hyperspectral data in vibrational microspectroscopy: A comprehensive comparison,” Chemometrics and Intelligent Laboratory Systems, vol. 184, pp. 112–122, 2019.
[70]
T. M. Wong, M. Kahl, P. H. Bolívar, and A. Kolb, “Computational Image Enhancement for Frequency Modulated Continuous Wave (FMCW) THz Image,” Journal of Infrared, Millimeter, and Terahertz Waves, vol. 40, no. 7, pp. 775–800, 2019.
[71]
H. Steiner, H. Sommerhoff, D. Bulczak, N. Jung, M. Lambers, and A. Kolb, “Fast Motion Estimation for Field Sequential Imaging: Survey and Benchmark,” Image and Vision Computing, vol. 89, pp. 170–182, Sep. 2019.
[72]
T. Shirley, D. Presnov, and A. Kolb, “A Lightweight Approach to 3D Measurement of Chronic Wounds,” Journal of WSCG, vol. 27, no. 1, pp. 67–74, 2019.
[73]
M. Jawad et al., “A Visual Analytics Approach for Comparing Cohorts in Single-Voxel Magnetic Resonance Spectroscopy Data,” Rea and P. M., Eds. Cham: Springer International Publishing, 2019, pp. 115–136.
[74]
D. Stock, M. Kahl, A. K. Wigger, T. M. Wong, A. Kolb, and P. H. Bolívar, “Advanced signal processing techniques for THz imaging and sensing enhancement in material quality control applications,” in Proc. SPIE 10917, Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XII, 2019, vol. 10917, p. DOI: 10.1117/12.2515642. doi: 10.1117/12.2515642.
[75]
P. Chandramouli, S. Burri, C. Bruschini, E. Charbon, and A. Kolb, “A Bit Too Much2 High Speed Imaging from Sparse Photon Counts,” in IEEE International Conference on Computational Photography (ICCP), Apr. 2019, p. DOI: 10.1109/ICCPHOT.2019.8747325.
[76]
C. Pomrehn, D. Klein, A. Kolb, P. Kaul, and R. Herpers, “Multiresolution Analysis Pansharpening for the Fusion of Raman and Conventional Brightfield Microscopy Images,” in Proc. IEEE Workshop on Hyperspectral Imaging and Signal Processing (WHISPERS), 2019, p. accepted for publication DOI: 10.1109/WHISPERS.2019.8921202. doi: 10.1109/WHISPERS.2019.8921202.
[77]
T. M. Wong, M. Kahl, P. H. Bolívar, A. Kolb, and M. Möller, “Training Auto-encoder-based Optimizers for Terahertz Image Reconstruction,” in German Conference on Pattern Recognition (GCPR), Sep. 2019, vol. 11824, pp. 93–106.
[78]
A. Görlitz, J. Geiping, and A. Kolb, “Piecewise Rigid Scene Flow with Implicit Motion Segmentation,” 2019.
[79]
R. Winchenbach and A. Kolb, “Multi-Level-Memory structures for adaptive SPH simulations,” in Proc. Vision, Modeling and Visualisation, 2019, p. DOI:10.2312/vmv.20191323 (Honorable Mentioned). doi: 10.2312/vmv.20191323 (Honorable Mentioned).
[80]
H. Sommerhoff, A. Kolb, and M. Möller, “Energy Dissipation with Plug-and-Play Priors,” 2019.
[81]
P. Chandramouli and K. V. Gandikota, “Blind Single Image Reflection Suppression for Face Images using Deep Generative Priors,” 2019.
[82]
J. Geiping and M. Moeller, “Parametric Majorization for Data-Driven Energy Minimization Methods,” 2019.
[83]
M. Evers and L. Linsen, “Uncertainty-aware Prediction in Spatio-temporal Simulation Ensemble Visualizations,” in Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) – IVAPP, 2019, pp. 216–224.
[84]
H. Hochstetter, “Efficent Rendering and Simulation of Fluid Transport and Phase Transitions in SPH-Based Fluids,” phdthesis, Computer Graphics Group, University of Siegen, 2019.
[85]
H. Sommerhoff, “Training of Lipschitz Continuous Deep Neural Networks,” Master Thesis, Computer Vision Group, University of Siegen, 2019.
[86]
H. Sarbolandi, M. Plack, and A. Kolb, “Pulse Based Time-of-Flight Range Sensing,” Sensors, vol. 18, no. 6, p. DOI: 10.3390/s18061679, 2018.
[87]
T. Geisler and A. Kolb, “Pattern Recognition of Rough Surfaces by Using Goniometric Scattered Light,” Metrology and Measurement Systems, vol. 25, no. 1, pp. 33–46, 2018.
[88]
S. Kosov, K. Shirahama, C. Li, and M. Grzegorzek, “Environmental Microorganism Classification Using Conditional Random Fields and Deep Convolutional Neural Networks,” Pattern Recognition, vol. 77, pp. 248–261, 2018.
[89]
D. Bulczak, M. Lambers, and A. Kolb, “Quantified, Interactive Simulation of AMCW ToF Camera Including Multipath Effects,” Sensors, vol. 18, no. 1, p. DOI: 10.3390/s18010013, 2018.
[90]
D. Presnov, M. Lambers, and A. Kolb, “Robust Range Camera Pose Estimation for Mobile Online Scene Reconstruction,” IEEE Sensors Journal, vol. 18, no. 7, pp. 2903–2915, DOI: 10.1109/JSEN.2018.2801878, 2018.
[91]
F. Li, K. Shirahama, A. Nisar, L. Koeping, and M. Grzegorzek, “Comparison of Feature Learning Methods for Human Activity Recognition using Wearable Sensors,” Sensors, vol. 18, no. 2, p. Article No. 679 (Data and codes are available on http://www.pr.informatik.uni-siegen.de/en/human-activity-recognition), 2018.
[92]
M. Khan, J. Helsper, M. S. Farid, and M. Grzegorzek, “A Computer Vision-based System for Monitoring Vojta Therapy,” International Journal of Medical Informatics, 2018.
[93]
C. Yang, O. Flak, and M. Grzegorzek, “Representation and Matching of Team Managers: An Experimental Research,” IEEE Transactions on Computational Social Systems, 2018.
[94]
M. Grzegorzek, A. Gertych, G. Aumayr, and E. Pietka, “Trends in Active and Assisted Living Open Hardware Architecture, Human Data Interpretation, Intervention and Assistance,” Computers in Biology and Medicine, 2018.
[95]
L. Koeping, K. Shirahama, and M. Grzegorzek, “A General Framework for Sensor-based Human Activity Recognition,” Computers in Biology and Medicine, vol. 95, no. 1, pp. 248-260 (PDF can be downloaded until May 12, 2018), 2018.
[96]
P. Lagodzinski, K. Shirahama, and M. Grzegorzek, “Codebook-based Electrooculography Data Analysis Towards Cognitive Activity Recognition,” Computers in Biology and Medicine, vol. 95, no. 1, pp. 277-287 (PDF can be downloaded until May 12, 2018), 2018.
[97]
M. Zollhöfer et al., “State of the Art on 3D Reconstruction with RGB-D Cameras,” Computer Graphics Forum (Eurographics STAR), vol. 37, no. 2, pp. 625–652, DOI: 10.1111/cgf.13386, 2018.
[98]
P. Chandramouli, M. Jin, D. Perrone, and P. Favaro, “Plenoptic Image Motion Deblurring,” IEEE Transactions on Image Processing, vol. 27, no. 4, pp. 1723–1734, 2018.
[99]
A. Delforouzi, S. A. H. Tabatabaei, K. Shirihama, and M. Grzegorzek, “A Polar Model for Fast Object Tracking in 360-degree Camera Images,” Multimedia Tools and Applications, 2018.
[100]
M. Khan, M. S. Farid, and M. Grzegorzek, “Spatiotemporal features of human motion for gait recognition,” Signal, Image and Video Processing, pp. 1–9, 2018.
[101]
M. Khan, M. Schneider, M. S. Farid, and M. Grzegorzek, “Detection of Infantile Movement Disorders in Video Data Using Deformable Part-Based Model,” Sensors, vol. 18, no. 10, 2018.
[102]
A. Delforouzi, B. Pamarthi, and M. Grzegorzek, “Training-Based Methods for Comparison of Object Detection Methods for Visual Object Tracking,” Sensors, 2018.
[103]
S. A. H. Tabatabaei, A. Delforouzi, M. Khan, T. Wesener, and M. Grzegorzek, “Automatic Detection of the Cracks on the Concrete Railway Sleepers,” International Journal of Pattern Recognition and Artificial Intelligence, 2018.
[104]
J. Geiping and M. Moeller, “Composite Optimization by Nonconvex Majorization-Minimization,” SIAM Journal on Imaging Sciences, 2018.
[105]
M. L. Ha, G. Franchi, M. Möller, A. Kolb, and V. Blanz, “Segmentation and Shape Extraction from Convolutional Neural Networks,” in IEEE Winter Conf. on Applications of Computer Vision (WACV), 2018, pp. 1509–1518.
[106]
D. Kroenert, A. Gruenewald, F. Li, M. Grzegorzek, and R. Brueck, “Sensor Headband for Emotion Recognition in a Virtual Reality Environment,” 2018.
[107]
M. Lambers, H. Sommerhoff, and A. Kolb, “Realistic Lens Distortion Rendering,” in Proc. Int. Conf. in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), 2018, p. 83.
[108]
M. Khan, M. S. Farid, M. Zahoor, and M. Grzegorzek, “Cross-View Gait Recognition Using Non-Linear View Transformations of Spatiotemporal Features,” in 25th IEEE International Conference on Image Processing (ICIP), 2018, pp. 773–777.
[109]
M. Khan, M. S. Farid, M. Zahoor, and M. Grzegorzek, “Using a generic model for codebook-based gait recognition algorithms,” in International Workshop on Biometrics and Forensics (IWBF), 2018, pp. 1–7.
[110]
D. Bulczak and A. Kolb, “Efficient Subsurface Scattering Simulation for Time-of-Flight Sensors,” 2018.
[111]
G. Franchi, Kolb. A., and A. Yao, “Supervised deep kriging for single-image super-resolution,” in In Proc. German Conf. Pattern Recognition (GCPR), 2018, pp. 638–649, DOI: 10.1007/978-3-030-12939–2_44.
[112]
C. Pomrehn, D. Klein, A. Kolb, P. Kaul, and R. Herpers, “Application of pansharpening algorithms for the fusion of raman and conventional brightfield microscopy images,” in In Proc. IEEE Workshop on Hyperspectral Imaging and Signal Processing (WHISPERS), 2018, p. DOI: 10.1109/WHISPERS.20188747082.
[113]
T. M. Wong, M. Kahl, P. H. Bolívar, and A. Kolb, “Computational Image Enhancement for Frequency Modulated Continuous Wave (FMCW) THz Image,” Computer Graphics Group, University of Siegen, arXiv:1802.05457, 2018.
[114]
C. Schikora, M. Plack, and A. Kolb, “Residuum-Condition Diagram and Reduction of Over-Complete Endmember-Sets,” Computer Graphics Group, University of Siegen, arXiv:1809.10089, Sep. 2018.
[115]
M. Pätzold, “Graphical Models And Simulation For THZ-Imaging,” phdthesis, University of Siegen, 2018.
[116]
D. Lefloch, “Real-Time Processing of Range Data Focusing on Environment Reconstruction,” phdthesis, Computer Graphics Group, University of Siegen, 2018.
[117]
R. Winchenbach, “Framework zur effektiven Umsetzung von Fluidsimulationen auf GPU,” mathesis, Computer Graphics Group, University of Siegen, 2018.
[118]
J. Frohne, “Simulation of Lens Effects based on Rasterization,” Bachelor thesis, Computer Graphics Group, University of Siegen, 2018.
[119]
M. Rittmeier, “Visualization of Terrain Properties,” Bachelor thesis, Computer Graphics Group, University of Siegen, 2018.
[120]
Y. Zou, C. Li, K. Shirahama, T. Jiang, and M. Grzegorzek, “Content-based Image Retrieval of Environmental Microorganisms Using Double-stage Optimisation-based Fusion,” Information Engineering Express (IEE), vol. 3, no. 4, pp. 43–53, 2017.
[121]
D. Lefloch, M. Kluge, H. Sarbolandi, T. Weyrich, and A. Kolb, “Comprehensive Use of Curvature for Robust and Accurate Online Surface Reconstruction,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 39, no. 12, pp. 2349–2365, 2017.
[122]
C. Yang, O. Tiebe, K. Shirahama, E. Lukasik, and M. Grzegorzek, “Evaluating Contour Segment Descriptors,” Machine Vision and Applications, vol. 28, no. 3, pp. 269–294, 2017.
[123]
R. A. Djeujo and C. Ruland, “Secret matrix lifecycle management for compressive sensing based cryptographic mechanisms,” Conference in Computing, Communication, Control, And Automation Conference (ICC3A), pp. 1–10, 2017.
[124]
C. M. Schikora, M. Plack, R. Bornemann, P. H. Bolivar, and A. Kolb, “Visual Analysis of Confocal Raman Spectroscopy Data using Cascaded Transfer Function Design,” Computer Graphics Forum (EuroVis 2017), vol. 36, no. 3, pp. 239–249, 2017.
[125]
B. Bringmann, D. Cremers, F. Krahmer, and M. Moeller, “The Homotopy Method Revisited: Computing Solution Paths of l^1-Regularized Problems,” Accepted in Mathematics of Computation, 2017.
[126]
R. Winchenbach, H. Hochstetter, and A. Kolb, “Infinite Continuous Adaptivity for Incompressible SPH,” ACM Transactions on Graphics (Proc. SIGGRAPH), vol. 36, no. 4, p. 102:1-102:10, 2017.
[127]
M. H. Conde and O. Loffeld, “Fast Approximate Construction of Best Complex Antipodal Spherical Codes,” ArXiv e-prints, 2017.
[128]
M. Khan and M. Grzegorzek, “Vojta-therapy: A Vision-based Framework to Recognize the Movement Patterns,” International Journal of Software Innovation (IJSI), 2017.
[129]
K. Shirahama and M. Grzegorzek, “On the Generality of Codebook Approach for Sensor-based Human Activity Recognition,” Electronics (Special Issue “Data Processing and Wearable Systems for Effective Human Monitoring”), vol. 6, no. 2, p. 44, 2017.
[130]
H. Hochstetter and A. Kolb, “Evaporation and Condensation of SPH-based Fluids,” Proceedings of ACM SIGGRAPH / Eurographics Symposium on Computer Animation, p. 3:1-3:9, 2017.
[131]
D. Schneider, A. Bablich, and M. C. Lemme, “Flexible hybrid graphene/a-Si:H multispectral photodetectors,” Nanoscale, vol. 9, pp. 8573–8579, 2017.
[132]
Z. Boukhers, K. Shirahama, and M. Grzegorzek, “Example-based 3D Trajectory Extraction of Objects from 2D Videos,” IEEE Transaction on Circuits and Systems for Video Technology, p. Accepted for Publication, 2017.
[133]
Z. Boukhers, K. Shirahama, and M. Grzegorzek, “Less Restrictive Camera Odometry Estimation from Monocular Camera,” MULTIMEDIA TOOLS AND APPLICATIONS, p. Accepted for Publication, 2017.
[134]
E. Rodola, M. Moeller, and D. Cremers, “Regularized Point-wise Map Recovery from Functional Correspondence,” Computer Graphics Forum, 2017.
[135]
S. Riazimehr et al., “High Photocurrent in Gated Graphene-Silicon Hybrid Photodiodes,” ACS photonics, vol. 4, no. 6, p. 1506–1514, 2017.
[136]
D. Klein, S. Maurer, U. Herbert, J. Kreyenschmidt, and P. Kaul, “Detection of Volatile Organic Compounds Arising from Chicken Breast Filets Under Modified Atmosphere Packaging Using TD-GC/MS,” Food Analytical Methods, 2017.
[137]
F. Ebner, T. Fetzer, F. Deinzer, and M. Grzegorzek, “On Wi-Fi Model Optimizations for Smartphone-Based Indoor Localization,” ISPRS International Journal of Geo-Information, Aug. 2017.
[138]
R. A. Djeujo and C. Ruland, “Embedding cryptographically secure matrix transformation in structured Compressive Sensing,” IEEE Annual Computing and Communication Workshop and Conference (CCWC), pp. 1–7, 2017.
[139]
R. A. Djeujo and C. Ruland, “QoSs definition and session description protocol for secure communication using compressive,” Int. Conf. on Future Generation Communication Technologies (FGCT), pp. 1–7, 2017.
[140]
Z. Boukhers, 3D Trajectory Extraction from 2D Videos for Human Activity Analysis. Logos Verlag Berlin GmbH, 2017.
[141]
M. H. Conde, Compressive Sensing for the Photonic Mixer Device – Fundamentals, Methods and Results. Springer Vieweg, 2017.
[142]
M. Grzegorzek, Sensor Data Understanding. Logos Verlag Berlin GmbH, 2017.
[143]
F. Li, L. Koeping, S. Schmitz, and M. Grzegorzek, “Real-Time Gesture Recognition Using a Particle Filtering Approach,” in 6th International Conference on Pattern Recognition Applications and Methods, 2017, p. to appear.
[144]
O. Flak, C. Yang, and M. Grzegorzek, “Action Sequence Matching of Team Managers,” 2017.
[145]
M. Khan, F. Li, M. S. Farid, and M. Grzegorzek, “Gait Recognition using Motion Trajectory Analysis,” 2017.
[146]
A. Delforouzi, S. A. H. Tabatabaei, M. Khan, and M. Grzegorzek, “A Vision-Based Method for Automatic Crack Detection in Railway Sleepers,” 2017.
[147]
M. Benning et al., “Nonlinear Spectral Image Fusion,” 2017.
[148]
M. Khan, M. S. Farid, and M. Grzegorzek, “Person Identification Using Spatiotemporal Motion Characteristics,” 2017.
[149]
A. Delforouzi and M. Grzegorzek, “Robust and Fast Object Tracking for Challenging 360-degree Videos,” 2017.
[150]
H. Dirks, J. Geiping, D. Cremers, and M. Moeller, “Multiframe Motion Coupling via Infimal Convolution Regularization for Video Super Resolution,” 2017.
[151]
T. Meinhardt, M. Moeller, C. Hazirbas, and D. Cremers, “Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems,” 2017.
[152]
T. Wu and C. Ruland, “Compression-oriented Quantization Improvement of Compressive Sensing Based Imaging,” in Int. Conf. Telecommunication and Signal Processing, 2017, pp. 604–609.
[153]
Klein, D., Wickleder, C., Kaul, and P., “Raman-Microspectroscopy for the Detection of Spoilage Bacteria,” 2017.
[154]
R. A. Djeujo and C. Ruland, “QoSs definition and session description protocol for secure communication using compressive sensing,” in 2017 Sixth International Conference on Future Generation Communication Technologies (FGCT), 2017, pp. 1–7.
[155]
R. A. Djeujo and C. Ruland, “Embedding cryptographically secure matrix transformation in structured Compressive Sensing,” in 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), 2017, pp. 1–7.
[156]
T. Wu and C. Ruland, “A Redundancy Based Compressive Sensing Recovery Optimization,” in Int. Conf. Telecommunication and Signal Processing, 2017, pp. 502–505.
[157]
Z. He, T. Shinozaki, K. Shirahama, M. Grzegorzekz, and K. Uehara, “Kobe University, NICT and University of Siegen at TRECVID 2017 AVS Task,” 2017.
[158]
P. Gouverneur, J. Jaworek-Korjakowska, L. Koeping, K. Shirahama, P. Kleczek, and M. Grzegorzek, “Classification of Physiological Data for Emotion Recognition.,” in International Conference on Artificial Intelligence and Soft Computing (ICAISC), 2017, pp. 619–627.
[159]
M. H. Conde, D. Hage, and O. Loffeld, “A null-space-based genetic algorithm for constrained L1 minimization,” in IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2017, pp. 294–299.
[160]
T. Wu and C. Ruland, “The Content Authenticity Property of the Compressive Sensing based Imaging method,” 2017.
[161]
T. Wu and C. Ruland, “Authenticated compressive sensing imaging,” in International Symposium on Networks, Computers and Communications (ISNCC), 2017, pp. 1–6.
[162]
J. Jaworek-Korjakowska, P. Kleczek, K. Shirahama, and M. Grzegorzek, “Automatic Detection of Blue-Whitish Veil as the Primary Dermoscopic Feature,” 2017.
[163]
M. Noroozi, P. Chandramouli, and P. Favaro, “Motion Deblurring in the Wild,” in Proc. German Conference on Pattern Recognition (GCPR), 2017, pp. 65–77.
[164]
V. X. Nguyen, K. Hartmann, W. Weihs, and O. Loffeld, “Modified orthogonal matching pursuit for multiple measurement vector with joint sparsity in super-resolution compressed sensing,” in Asilomar Conference on Signals, Systems, and Computers, 2017, pp. 840–844.
[165]
T. Fetzer, F. Ebner, F. Deinzer, and M. Grzegorzek, “Recovering from Sample Impoverishment in Context of Indoor Localisation,” 2017.
[166]
M. H. Conde and O. Loffeld, “A genetic algorithm for compressive sensing sparse recovery,” in IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2017, pp. 106–111.
[167]
S. Riazimehr et al., “The origin of high photocurrent in Graphene/Silicon photodiodes,” Graphene week 25-29 September2017, Athens, Greece, techreport, 2017.
[168]
T. Hoegg, “Effiziente Verarbeitung von Tiefen- und Bilddaten – Algorithmen und Software-Paradigmen,” phdthesis, Universität Siegen, 2017.
[169]
F. Stellbrink, “Inter-Process Communication in Distributed Virtual Reality Applications,” Bachelor Thesis, University of Siegen, 2017.
[170]
D. Presnov, “Handgeführtes 3D Scanning auf mobilen Plattformen,” Masterarbeit, Computer Graphics Group, University of Siegen, 2017.
[171]
K. Shirahama and M. Grzegorzek, “Towards Large-Scale Multimedia Retrieval Enriched by Knowledge about Human Interpretation – Retrospective Survey -,” Multimedia Tools and Applications, vol. 75, no. 1, pp. 297–331, 2016.
[172]
C. Li, K. Shirahama, and M. Grzegorzek, “Environmental Microbiology Aided by Content-based Image Analysis,” Pattern Analysis and Applications, vol. 19, no. 2, pp. 531–547, 2016.
[173]
F. Alghabi, S. Send, U. Schipper, A. Abboud, U. Pietsch, and A. Kolb, “Fast GPU-based absolute intensity determination for energy dispersive X ray Laue diffraction,” Journal of Instrumentation, p. DOI:10.1088/1748-0221/9/11/T11003, 2016.
[174]
A. Dimitrijević, M. Lambers, and D. Rančić, “Comparison of spherical cube map projections used in planet-sized terrain rendering,” Facta Universitatis, Series: Mathematics and Informatics, vol. 31, no. 2, pp. 259–297, 2016.
[175]
M. Lambers, “Mappings between sphere, disc, and square,” Journal of Computer Graphics Techniques, vol. 5, no. 2, pp. 1–21, Apr. 2016.
[176]
S. Riazimehr et al., “Spectral sensitivity of graphene/silicon heterojunction photodetectors,” Solid-State Electronics, vol. 115, pp. 207–212, 2016.
[177]
C. Yang, O. Tiebe, K. Shirahama, and M. Grzegorzek, “Object Matching with Hierarchical Skeletons,” Pattern Recognition, vol. 55, pp. 183–197, 2016.
[178]
C. Yang, C. Feinen, O. Tiebe, K.Shirahama, and M. Grzegorzek, “Shape-based object matching using interesting points and high-order graphs,” Pattern Recognition Letters, vol. 83, no. 3, pp. 251–260, Nov. 2016.
[179]
M. H. Conde, B. Zhang, K. Kagawa, and O. Loffeld, “Low-Light Image Enhancement for Multiaperture and Multitap Systems,” Photonics Journal, IEEE, vol. 8, no. 2, pp. 1–25, 2016.
[180]
G. Franchi and J. Angulo, “Morphological Principal Component Analysis for Hyperspectral Image Analysis,” ISPRS International Journal of Geo-Information, vol. 5, no. 6, p. 83, 2016.
[181]
H. Steiner, S. Sporrer, A. Kolb, and N. Jung, “Design of an Active Multispectral SWIR Camera System for Skin Detection and Face Verification,” Journal of Sensors, vol. 2016, no. 1, p. doi:10.1155/2016/9682453, 2016.
[182]
J. Herrmann and S. Sporrer, “Mensch und Maschine – who is who2,” DGUV Forum, vol. 8, no. 6, pp. 34–35, 2016.
[183]
M. Burger, G. Gilboa, M. Moeller, L. Eckardt, and D. Cremers, “Spectral Decompositions using One-Homogeneous Functionals,” SIAM Journal on Imaging Sciences, vol. 9, no. 3, pp. 1374–1408, 2016.
[184]
G. Gilboa, M. Moeller, and M. Burger, “Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects,” Journal of Mathematical Imaging and Vision, vol. 56, no. 2, pp. 300–319, 2016.
[185]
M. Moeller and X. Zhang, “Fast sparse reconstruction: Greedy inverse scale space flows,” Mathematics of Computation, vol. 85, pp. 179–208, 2016.
[186]
J. Duran, M. Moeller, C. Sbert, and D. Cremers, “Collaborative Total Variation: A General Framework for Vectorial TV Models,” SIAM Journal on Imaging Sciences, vol. 9, no. 1, pp. 116–151, 2016.
[187]
J. Duran, M. Moeller, C. Sbert, and D. Cremers, “On the Implementation of Collaborative TV Regularization: Application to Cartoon+Texture Decomposition,” Image Processing On Line, vol. 6, pp. 27–74, 2016.
[188]
C. Yim et al., “High-performance hybrid electronic devices from layered PtSe2 films grown at low temperature,” ACS nano, vol. 10, no. 10, pp. 9550–9558, 2016.
[189]
J. Nuricumbo, H. Ali, Z. Marton, and M. Grzegorzek, “Improving Object Classification Robustness Using Adapative SVMs,” Multimedia Tools and Applications, 2016.
[190]
R. A. Djeujo and C. Ruland, “Secure matrix generation for Compressive Sensing embedded cryptography,” IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), pp. 1–8, 2016.
[191]
C. Li, Content-based Microscopic Image Analysis. Gubener Str. 47, Berlin, Germany: Logos Verlag Berlin GmbH, 2016.
[192]
C. Feinen, Object Representation and Matching Based on Skeletons and Curves. Berlin, Germany: Logos Verlag Berlin GmbH, 2016.
[193]
C. Yang, Object Shape Generation, Representation and Matching. Logos Verlag Berlin GmbH, 2016.
[194]
O. Tiebe, C. Yang, M. Khan, M. Grzegorzek, and D. Scarpin, “Studies in Computational Intelligence,” Springer International Publishing, 2016, pp. 59–72.
[195]
Y. Zou, C. Li, K. Shirahama, F. Schmidt, T. Jiang, and M. Grzegorzek, “Computer and Information Science,” R. Lee, Ed. Springer, 2016, pp. 119–130.
[196]
D. Schneider, A. Bablich, and M. C. Lemme, “Graphene/a-Si: H multispectral photodetectors,” in Solid-State Device Research Conference (ESSDERC), 2016 46th European, 2016, pp. 287–290.
[197]
G. Franchi, J. Angulo, and D. Sejdinović, “Hyperspectral image classification with support vector machines on kernel distribution embeddings,” in 2016 IEEE International Conference on Image Processing (ICIP), 2016, pp. 1898–1902.
[198]
M. Khan, J. Helsper, Z. Boukhers, and M. Grzegorzek, “Automatic Recognition of Movement Patterns in the Vojta-Therapy using RGB-D Data,” in International Conference on Image Processing, 2016, pp. 1235–1239.
[199]
T. Hoegg, C. Koehler, and A. Kolb, “Abstracting Data and Image Processing Systems using a Component-Based Domain Specific Language,” in Model-Driven Engineering and Software Development (MODELSWARD), 2016 4rd International Conference on, 2016, pp. 292–300. doi: 10.5220/0005743502920300.
[200]
T. Hoegg, G. Fiedler, C. Koehler, and A. Kolb, “Flow Driven GPGPU Programming combining Textual and Graphical Programming,” in Proceedings of the Seventh International Workshop on Programming Models and Applications for Multicores and Manycores, 2016, pp. 88–97.
[201]
M. Lambers, “Lowering the entry barrier for students programming Virtual Reality applications,” 2016.
[202]
D. Schneider, A. Bablich, and M. C. Lemme, “Flexible graphene-/a-Si: H multispectral photodetectors,” in Device Research Conference (DRC), 2016 74th Annual, 2016, pp. 1–2.
[203]
K. Shirahama and M. Grzegorzek, “Emotion Recognition Based on Physiological Sensor Data Using Codebook Approach,” in The Fifth International Conference on Information Technologies in Biomedicine (ITiB 2016), 2016, pp. 27–39.
[204]
M. Khan, J. Helsper, C. Yang, and M. Grzegorzek, “An Automatic Vision-based Monitoring System for Accurate Vojta-Therapy,” in International Conference on Computer and Information Science, 2016, pp. 1–6.
[205]
S. Scheckel and A. Kolb, “Min-Max Mipmaps for Efficient 2D Occlusion Culling,” 2016.
[206]
X. Huang et al., “Stem Cell Microscopic Image Segmentation Using Supervised Normalised Cuts,” in The 23rd IEEE International Conference on Image Processing (ICIP 2016), 2016, pp. 4140–4144.
[207]
Y. Zou, C. Li, K. Shirahama, T. Jiang, and M. Grzegorzek, “Environmental Microorganism Image Retrieval Using Multiple Colour Channels Fusion and Particle Swarm Optimisation,” in The 23rd IEEE International Conference on Image Processing (ICIP 2016), 2016, pp. 2475–2479.
[208]
H. Hochstetter, J. Orthmann, and A. Kolb, “Adaptive Sampling for On-The-Fly Ray Casting of Particle-based Fluids,” in Proc. ACM/Eurographics High Performance Graphics, 2016, pp. 129–138.
[209]
R. Winchenbach, H. Hochstetter, and A. Kolb, “Constrained Neighbor Lists for SPH-based Fluid Simulations,” in Proc. Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2016, pp. 49–56.
[210]
T. Fetzer, F. Ebner, L. Koeping, M. Grzegorzek, and F.Deinzer, “On Monte Carlo Smoothing in Multi Sensor Indoor Localisation,” 2016.
[211]
M. Khan, K. Shirahama, M. S. Farid, and M. Grzegorzek, “Multiple Human Detection in Depth Images,” in International Workshop on Multimedia Signal Processing, 2016, p. to appear.
[212]
K. Shirahama, L. Koeping, and M. Grzegorzek, “Codebook Approach for Sensor-based Human Activity Recognition,” in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Sep. 2016, pp. 197–200.
[213]
A. Delforouzi, S. A. H. Tabatabaei, K. Shirahama, and M. Grzegorzek, “Unknown Object Tracking in 360-Degree Camera Images,” in 23rd International Conference on Pattern Recognition, 2016, pp. 1799–1804.
[214]
M. H. Conde, K. Hartmann, and O. Loffeld, “Simple Adaptive Progressive Edge-Growth Construction of LDPC Codes for Close(r)-to-Optimal Sensing in Pulsed ToF,” 2016.
[215]
O. Loffeld, A. Seel, M. H. Conde, and L. Wang, “Sparse CS Reconstruction by Nullspace-based L1 Minimizing Kalman Filtering,” 2016.
[216]
O. Loffeld, A. Seel, M. H. Conde, and L. Wang, “A Nullspace Based L1 Minimizing Kalman Filter Approach to Sparse CS Reconstruction,” 2016.
[217]
S. Beigpour, M. L. Ha, S. Kunz, A. Kolb, and V. Blanz, “Multi-view Multi-illuminant Intrinsic Dataset,” 2016.
[218]
C. Yang, O. Tiebe, M. Grzegorzek, and B. Indurkhya, “Investigations on Skeleton Completeness for Skeleton-based Shape Matching,” in Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA 2016), 2016, pp. 113–118.
[219]
A. Delforouzi, S. A. H. Tabatabaei, K. Shirahama, and M. Grzegorzek, “Polar Object Tracking in 360-Degree Camera Images,” in IEEE International Symposium on Multimedia (ISM 2016), 2016, pp. 347–352.
[220]
G. Franchi and J. Angulo, “A deep spatial/spectral descriptor of hyperspectral texture using scattering transform,” in Image Processing (ICIP), 2016 IEEE International Conference on, 2016, pp. 3568–3572.
[221]
D. Shahlaei, M. Piotraschke, and V. Blanz, “Lighting design for portraits with a virtual light stage,” in Image Processing (ICIP), 2016 IEEE International Conference on, 2016, pp. 1579–1583.
[222]
M. Piotraschke and V. Blanz, “Automated 3D Face Reconstruction From Multiple Images Using Quality Measures,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 3418–3427.
[223]
H. Steiner, A. Kolb, and N. Jung, “Reliable face anti-spoofing using multispectral SWIR imaging,” in Proc. Int. Conf. on Biometrics (ICB), 2016, pp. 1–8.
[224]
Y. Matsumoto, T. Shinozaki, K. Shirahama, M. Grzegorzek, and K. Uehara, “Kobe University, NICT and University of Siegen at TRECVID 2016 AVS Task,” in TREC Video Retrieval Evaluation (TRECVID) 2016 Workshop, Nov. 2016, p. to appear.
[225]
Z. Boukhers, Y. Wang, K. Shirahama, K. Uehara, and M. Grzegorzek, “Convoy Detection in Crowded Surveillance Videos,” in International Workshop on Human Behavior Understanding at ACM Multimedia, 2016, pp. 137–147.
[226]
S. Sporrer and N. Jung, “Überwachung von Industrierobotern mittels Nahinfrarot-Kamerasystem,” in Mensch und Computer 2016 – Workshopband, 2016.
[227]
D. Stock and P. H. Bolivar, “Error analysis of model-based frequency- and time-domain methods for THz material parameter extraction,” in 2016 41st International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz), 2016, pp. 1–2.
[228]
E. Laude, T. Möllenhoff, M. Moeller, J. Lellmann, and D. Cremers, “Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies,” 2016.
[229]
T. Möllenhoff, E. Laude, M. Moeller, J. Lellmann, and D. Cremers, “Sublabel-Accurate Relaxation of Nonconvex Energies,” 2016.
[230]
R. A. Djeujo and C. Ruland, “Secure matrix generation for Compressive Sensing embedded cryptography,” in 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2016, pp. 1–8.
[231]
Y. Zou, C. Li, K. Shirahama, F. Schmidt, T. Jiang, and and M. Grzegorzek, “Content-based Microscopic Image Retrieval of Environmental Microorganisms using Multiple Colour Channels Fusion.,” in IEEE/ACIS International Conference on Computer and Information Science (ICIS), 2016, pp. 119–130.
[232]
V. X. Nguyen, K. Hartmann, W. Weihs, and O. Loffeld, “Multi-target super-resolution using compressive sensing arguments for multipath interference recovery,” in International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), 2016, pp. 148–152.
[233]
V. X. Nguyen, K. Hartmann, W. Weihs, and O. Loffeld, “Combined based on minimum distance orthogonal matching pursuit method for support recovery improvement in super-resolution compressed sensing,” in International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), 2016, pp. 257–261.
[234]
F. Ebner, T. Fetzer, M. Grzegorzek, and F. Deinzer, “On Prior Navigation Knowledge in Multi Sensor Indoor Localisation,” 2016.
[235]
M. Grzegorzek, “Medical Data Understanding,” 2016.
[236]
M. Bugdol, A. Mitas, M. Grzegorzek, R. Meyer, and C. Wilhelm, “Human Activity Recognition Using Smartphone Sensors,” 2016.
[237]
H. Steiner, “Active Multispectral SWIR Imaging for Reliable Skin Detection and Face Verification,” Cuvillier Verlag Göttingen, Universität Siegen, 2016.
[238]
N. Sarmah, “Wideband Circuit Design Techniques for Ultra-High Data-Rate Wireless Communication in Silicon Technologies,” phdthesis, Bergische Universität Wuppertal, 2016.
[239]
M. Jamshidifar, “On-wafer characterization of mm-wave and THz circuits using electrooptic sampling,” phdthesis, Universität Siegen, 2016.
[240]
S. Scheckel, “Efficient 2D Hidden Surface Detection,” Bachelor Thesis, University of Siegen, 2016.
[241]
M. Plack, “Characterization of Pulse-Based Time-of-Flight Sensor Data,” Bachelor Thesis, University of Siegen, 2016.
[242]
P. Marchel, “Simulation der Verdunstung und Kondensation von SPH-basierten Flüssigkeiten,” mathesis, University of Siegen, 2016.
[243]
J. Moos, “Mock-Ups für Visualisierungen kooperationsrelevanter medizinischer Daten,” Bachelorarbeit, Computer Graphics Group, University of Siegen, 2016.
[244]
C. Li, K. Shirahama, and M. Grzegorzek, “Application of Content-based Image Analysis to Environmental Microorganism Classification,” Biocybernetics and Biomedical Engineering, vol. 35, no. 1, pp. 10–21, 2015.
[245]
K. Shirahama, M. Grzegorzek, and K. Uehara, “Weakly Supervised Detection of Video Events Using Hidden Conditional Random Fields,” International Journal on Multimedia Information Retrieval, vol. 4, no. 1, pp. 17–32, 2015.
[246]
M. Lambers, S. Hoberg, and A. Kolb, “Simulation of Time-of-Flight Sensors for Evaluation of Chip Layout Variants,” IEEE Sensors Journal, vol. 15, no. 7, pp. 4019–4026, 2015.
[247]
M. H. Conde, K. Hartmann, and O. Loffeld, “Simultaneous Multichannel Waveform Recovery of Illumination Signals Using Compressed Sensing,” Photonics Technology Letters, IEEE, vol. 27, no. 4, pp. 431–434, 2015.
[248]
M. Shen et al., “Interactive Tracking of Insect Posture,” Pattern Recognition, vol. 48, no. 11, pp. 3560–3571, Nov. 2015.
[249]
H. Sarbolandi, D. Lefloch, and A. Kolb, “Kinect Range Sensing: Structured-Light versus Time-of-Flight Kinect,” Journal of Computer Vision and Image Understanding, vol. 139, pp. 1–20, 2015.
[250]
M. H. Conde, K. Hartmann, and O. Loffeld, “A Compressed Sensing Framework for Accurate and Robust Waveform Reconstruction and Phase Retrieval Using the Photonic Mixer Device,” Photonics Journal, IEEE, vol. 7, no. 3, pp. 1–16, 2015.
[251]
M. H. Conde, K. Hartmann, and O. Loffeld, “Adaptive High Dynamic Range for Time-of-Flight Cameras,” Instrumentation and Measurement, IEEE Transactions on, vol. 64, no. 7, pp. 1885–1906, 2015.
[252]
D. Schneider, C. Merfort, and A. Bablich, “Progress in a-Si:H based multispectral sensor technology and material recognition,” Sensors and Actuators A: Physical, vol. 223, pp. 24–30, 2015.
[253]
K. Shirahama, M. Grzegorzek, and B. Indurkhya, “Human-Machine Cooperation in Large-Scale Multimedia Retrieval: A Survey,” Journal of Problem Solving, vol. 8, no. 1, pp. 36–63, 2015.
[254]
K. Shirahama, T. Matsumura, M. Grzegorzek, and K. Uehara, “Semantic Indexing based on Focus of Attention Extended by Weakly Supervised Learning,” International Journal on Advances in Software, vol. 8, no. 3, pp. 410–419, 2015.
[255]
M. Schumacher, M. Piotraschke, and V. Blanz, “Hallucination of facial details from degraded images using 3D face models,” Image and Vision Computing, vol. 40, pp. 49–64, 2015.
[256]
S. Sporrer, “Hand oder Holz2 – Intelligente, automatische Höheneinstellung für Schutzhauben,” SPS-Magazin, vol. 28, no. 4, pp. 112–113, 2015.
[257]
M. Moeller, M. Benning, C. Schönlieb, and D. Cremers, “Variational Depth From Focus Reconstruction,” IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5369–5378, 2015.
[258]
P. Heins, M. Moeller, and M. Burger, “Locally Sparse Reconstruction Using the \ell1,\infty-Norm,” Inverse Problems and Imaging, vol. 9, no. 4, pp. 1093–1137, 2015.
[259]
T. Möllenhoff, E. Strekalovskiy, and M. Moeller, “The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings,” SIAM Journal on Imaging Sciences, vol. 8, no. 2, pp. 827–857, 2015.
[260]
J. Czajkowska, C. Feinen, M. Grzegorzek, M. Raspe, and and R. Wickenhöfer, “Skeleton Graph Matching vs. Maximum Weight Cliques Aorta Registration Techniques,” Computerized Medical Imaging and Graphics, vol. 46, no. 2, pp. 142–152, 2015.
[261]
I. Zyout, J. Czajkowska, and M. Grzegorzek, “Multi-scale Textural Feature Extraction and Particle Swarm Optimization Based Model Selection for False Positive Reduction in Mammography,” Computerized Medical Imaging and Graphics, 2015.
[262]
K. Shirahama, M. Grzegorzek, K. Kumabuchi, and K. Uehara, “Multimedia Data Mining and Analytics: Disruptive Innovation,” A. K. Baughman, J. Gao, J.-Y. Pan, and V. Petrushin, Eds. Springer, 2015, pp. 269-294 (Chapter 12).
[263]
A. Kolb and F. Pece, “Digital Representations of the Real World: How to Capture, Model, and Render Visual Reality,” M. Magnor, O. Grau, O. Sorkine-Hornung, and C. Theobalt, Eds. AK Peters / CRC Press, 2015, pp. 51–64.
[264]
A. Kolb, J. Zhu, and R. Yang, “Digital Representations of the Real World: How to Capture, Model, and Render Visual Reality,” M. Magnor, O. Grau, O. Sorkine-Hornung, and C. Theobalt, Eds. AK Peters / CRC Press, 2015, pp. 133–150.
[265]
F. Alghabi, U. Schipper, and A. Kolb, “A Scalable Software Framework for Stateful Stream Data Processing on Multiple GPUs and Applications,” in 2013 Symposium on GPU Computing and Applications, 2015, pp. 99–118.
[266]
C. Yang, O. Tiebe, P. Pietsch, C. Feinen, U. Kelter, and M. Grzegorzek, “Shape-based Object Retrieval and Classification with Supervised Optimisation,” in International Conference on Pattern Recognition Applications and Methods, 2015, pp. 204–211.
[267]
K. Shirahama, T. Matsumura, M. Grzegorzek, and K. Uehara, “Empowering Semantic Indexing with Focus of Attention,” in The Seventh International Conferences on Advances in Multimedia (MMEDIA 2015), 2015, pp. 33–36.
[268]
L. Xiao et al., “Defocus Deblurring and Superresolution for Time-of-Flight Depth Cameras,” in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2015, pp. 2376–2384.
[269]
H. Hochstetter, M. Wurm, and A. Kolb, “Vector Field Visualization of Advective-Diffusive Flows,” in Computer Graphics Forum (EuroVis 2015), 2015, vol. 34, p. DOI: 10.1111/cgf.12660.
[270]
Z. Boukhers, T. Jarzynski, F. Shmidt, O. Tiebe, and M. Grzegorzek, “Shape-Based Eye Blinking Detection and Analysis,” in International Conference on Computer Recognition Systems, 2015, p. Accepted for Publication.
[271]
Y. Zou, C. Li, Z. Boukhers, K. Shirahama, T. Jiang, and M. Grzegorzek, “Environmental Microbiological Content-Based Image Retrieval System Using Internal Structure Histogram,” in International Conference on Computer Recognition Systems, 2015, pp. 543–552.
[272]
C. Yang, C. Feinen, O. Tiebe, K. Shirahama, and M. Grzegorzek, “Shape-based Object Matching Using Point Context,” in International Conference on Multimedia Retrieval, 2015, pp. 519–522.
[273]
J. Hedrich, F. Genois, D. Paulus, and M. Grzegorzek, “Enhanced Surface Normal Computation by Exploiting RGB-D Sensory Information,” Apr. 2015.
[274]
C. Li, K. Shirahama, and M. Grzegorzek, “Environmental Microorganism Classification Using Sparse Coding and Weakly Supervised Learning,” in International Workshop on Environmental Multimedia Retrieval In Conjunction with ACM International Conference on Multimedia Retrieval, 2015, pp. 9–14.
[275]
Z. Boukhers, K. Shirahama, F. Li, and M. Grzegorzek, “Object Detection and Depth Estimation for 3D Trajectory Extraction,” in International Workshop on Content-Based Multimedia Indexing, 2015, pp. 1–6.
[276]
M. H. Conde, K. Hartmann, and O. Loffeld, “Crosstalk characterization of PMD pixels using the spatial response function at subpixel level,” in Proc. SPIE, 2015, vol. 9393, pp. 93930L-93930L–11.
[277]
L. Koeping, S. Bobek, M. Slazynski, F. Deinzer, G. J. Nalepa, and M. Grzegorzek, “Improving Indoor Localization by User Feedback,” 2015.
[278]
S. Beigpour and M. Pederson, “Color Play: Gamification for Color Vision Study,” 2015.
[279]
D. Lefloch, T. Weyrich, and A. Kolb, “Anisotropic Point-Based Fusion,” in International Conference on Information Fusion (FUSION), 2015, pp. 2121–2128.
[280]
M. Pätzold and A. Kolb, “Grid-Free Out-Of-Core Voxelization to Sparse Voxel Octrees on GPU,” in Proc. ACM/Eurographics High Performance Graphics, Aug. 2015, pp. 95–103.
[281]
S. Riazimehr et al., “Spectral sensitivity of a graphene/silicon pn-junction photodetector,” in Ultimate Integration on Silicon (EUROSOI-ULIS), 2015 Joint International EUROSOI Workshop and International Conference on, 2015, pp. 77–80.
[282]
C. Yang, M. Grzegorzek, and E. Lukasik, “Representing The Evolving Temporal Envelope of Musical Instruments Sounds Using Computer Vision Methods,” 2015.
[283]
M. H. Conde, K. Hartmann, and O. Loffeld, “Structure and Rank Awareness for Error and Data Flow Reduction in Phase-Shift-Based ToF Imaging Systems Using Compressive Sensing,” in 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), 2015, pp. 150–154.
[284]
S. Beigpour, A. Kolb, and S. Kunz, “A Comprehensive Multi-Illuminant Dataset for Benchmarking of Intrinsic Image Algorithms,” in Proc. IEEE International Conference on Computer Vision (ICCV), 2015, pp. 172–180.
[285]
C. Yang, O. Tiebe, M. Grzegorzek, and E. Lukasik, “Skeleton-based Audio Envelope Shape Analysis,” in Asian Conference on Pattern Recognition (ACPR), Nov. 2015, pp. 514–518.
[286]
K. Shirahama, T. Shinozaki, Y. Matsumoto, M. Grzegorzek, and K. Uehara, “University of Siegen, Kobe University and NICT at TRECVID 2015 SIN and MED Tasks,” 2015.
[287]
T. Hoegg, C. Koehler, and A. Kolb, “Component based data and image processing systems: A conceptual and practical approach,” in Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on, 2015, pp. 66–69.
[288]
T. Hoegg, C. Baiz, and A. Kolb, “Online Improvement of Time-of-Flight Camera Accuracy by Automatic Integration Time Adaption,” in Signal Processing and Information Technology (ISSPIT), 2015 IEEE International Symposium on, 2015, pp. 613–618.
[289]
M. H. Conde, D. Shahlaei, V. Blanz, and O. Loffeld, “Efficient and Robust Inverse Lighting of a Single Face Image Using Compressive Sensing,” 2015.
[290]
D. Stock and P. H. Bolivar, “Comparison of model-based material parameter extraction in frequency- and time-domain,” in Infrared, Millimeter, and Terahertz waves (IRMMW-THz), 2015 40th International Conference on, 2015, pp. 1–2.
[291]
F. Ebner, T. Fetzer, L. Koeping, M. Grzegorzek, and F. Deinzer, “Multi Sensor 3D Indoor Localisation,” 2015.
[292]
D. Shahlaei and V. Blanz, “Realistic inverse lighting from a single 2D image of a face, taken under unknown and complex lighting,” in Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on, 2015, vol. 1, pp. 1–8.
[293]
M. Schumacher and V. Blanz, “Exploration of the correlations of attributes and features in faces,” in Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on, 2015, vol. 1, pp. 1–8.
[294]
V. X. Nguyen, W. Weihs, and O. Loffeld, “Illumination, phase step optimization and improvements in simultaneous multiple frequency measurement for Time-of-Flight sensors,” in 3D Imaging (IC3D), 2015 International Conference on, 2015, pp. 1–6.
[295]
Z. Boukhers, K. Shirahama, F. Li, and M. Grzegorzek, “Extracting 3D Trajectories of Objects from 2D Videos using Particle Filter,” 2015.
[296]
O. Loffeld, T. Espeter, and M. H. Conde, “From Weighted Least Squares Estimation to Sparse CS Reconstruction: L1 Minimization in the Framework of Recursive Kalman Filtering,” in 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), 2015, pp. 149–153.
[297]
S. Sporrer, H. Steiner, M. Velte, and N. Jung, “NIR Camera Based Person Detection in the Working Range of Industrial Robots,” in Proc. Int. Conf. on Safety of Industrial Automated Systems (SIAS), 2015, pp. 147–152.
[298]
N. Jung, O. Schwaneberg, S. Sporrer, H. Steiner, and I. Gro, “Adaptive, material-dependent height-control for protective hoods on panel saws,” in Proc. Int. Conf. Safety of Industrial Automated Systems (SIAS), 2015, pp. 157–162.
[299]
M. Moeller, J. Diebold, G. Gilboa, and D. Cremers, “Learning Nonlinear Spectral Filters for Color Image Reconstruction,” in IEEE International Conference on Computer Vision (ICCV), 2015, pp. 289–297.
[300]
E. Rodola, M. Moeller, and D. Cremers, “Point-wise map recovery and refinement from functional correspondence,” in Proc. VMV, 2015, pp. 25–32.
[301]
J. Diebold, N. Demmel, C. Hazirbas, M. Moeller, and D. Cremers, “Interactive Multi-label Segmentation of RGB-D Images,” in Proceedings of the 5th International Conference on Scale Space and Variational Methods in Computer Vision, 2015, pp. 294–306.
[302]
J. Duran, M. Moeller, C. Sbert, and D. Cremers, “A Novel Framework for Nonlocal Vectorial Total Variation Based on \ellp,q,r−norms,” in Proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2015, pp. 141–154.
[303]
M. Burger, L. Eckardt, G. Gilboa, and M. Moeller, “Spectral Representations of One-Homogeneous Functionals,” in Proceedings of the 5th International Conference on Scale Space and Variational Methods in Computer Vision, 2015, pp. 16–27.
[304]
T. Möllenhoff, E. Strekalovskiy, M. Moeller, and D. Cremers, “Low Rank Priors for Color Image Regularization,” in Proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2015, pp. 126–140.
[305]
T. Fetzer, F. Ebner, L. Koeping, M. Grzegorzek, and F. Deinzer, “Multi Sensor 3D Indoor Localisation,” 2015.
[306]
T. Hoegg, G. Fiedler, C. Koehler, and and Andreas Kolb, “GU-DSL – A Generic Domain-Specific Language for Data- and Image Processing,” University of Siegen, techreport, 2015.
[307]
M. Keller, “Real-time Simulation of Time-of-Flight Sensors and Accumulation of Range Camera Data,” phdthesis, Computer Graphics Group, University of Siegen, 2015.
[308]
K. Statnikov, “Towards Multi-Dimensional Terahertz Imaging Systems Based on Low-Cost Silicon Technologies,” phdthesis, Bergische Universität Wuppertal, 2015.
[309]
S. Jinse, “Secure and Robust Image Hashing Algorithm for Content based Image Authentication,” phdthesis, Universität Siegen, 2015.
[310]
R. Sczech, “THz-Biosensing : dielectric long-range modes for analyzing biomolecules in strongly absorbing liquids,” phdthesis, Universität Siegen, 2015.
[311]
S. Theiss, “Analysis of a pulse-based ToF camera for automotive application,” Master Thesis, University of Siegen, 2015.
[312]
J. C. Grimm, “Fluid Surface Reconstruction Using a Time-of-Flight Camera,” Master Thesis, University of Siegen, 2015.
[313]
E. Bader, “Farbrendering fuer Kamer-aqukirierte 3D Modelle,” Bachelor Thesis, University of Siegen, 2015.
[314]
A. Heidrich, “Constrained Super-Resolution of Direct and Global Component Images using L1-L2 Optimization,” Master Thesis, University of Siegen, 2015.
[315]
J. Czajkowska and E. Pietka, “A New Parametric Model-Based Technique in Bone Tumour Analysis,” Computerized Medical Imaging and Graphics, p. to appear, 2014.
[316]
F. Heide, L. Xiao, A. Kolb, M. B. Hullin, and W. Heidrich, “Imaging in scattering media using correlation image sensors and sparse convolutional coding,” Optics Express, vol. 22, no. 21, pp. 26338–26350, 2014.
[317]
D. Zukić, A. Vlasák, J. Egger, D. Hořínek, C. Nimsky, and A. Kolb, “Robust Detection and Segmentation for Diagnosis of Vertebral Diseases using Routine MR Images,” Computer Graphics Forum (Invited Paper), vol. 33, no. 6, pp. 190–204, Sep. 2014.
[318]
S. Beigpour, C. Riess, J. van de Weijer, and E. Angelopoulou, “Multi-Illuminant Estimation with Conditional Random Fields,” IEEE Transactions on Image Processing (TIP), vol. 23, no. 1, pp. 83–96, 2014.
[319]
I. M. Ziko, S. Beigpour, and J. Y. Hardeberg, “Design and Creation of a Multi-Illuminant Scene Image Dataset,” Image and Signal Processing, Lecture Notes in Computer Science, vol. 8509, pp. 531–538, 2014.
[320]
F. S. Khan, S. Beigpour, J. van de Weijer, and M. Felsberg, “Painting-91: a large scale database for computational painting categorization,” Machine Vision and Applications, 2014.
[321]
C. Yim et al., “Heterojunction Hybrid Devices from Vapor Phase Grown MoS2,” Scientific reports, vol. 4, 2014.
[322]
F. Alghabi et al., “Fast GPU-Based Spot Extraction for Energy-Dispersive X-Ray Laue Diffraction,” Journal of Instrumentation, vol. 9, no. 11, p. T 1103, Nov. 2014.
[323]
L. Koeping, F. Ebner, M. Grzegorzek, and F. Deinzer, “Indoor Localization Using Step and Turn Detection Together with Floor Map Information,” FHWS Science Journal, vol. 3, no. 1, pp. 92–101, 2014.
[324]
M. Moeller, E.-M. Brinkmann, M. Burger, and T. Seybold, “Color Bregman TV,” SIAM Journal on Imaging Sciences, vol. 7, no. 4, pp. 2771–2806, 2014.
[325]
M. Moeller, M. Burger, P. Dieterich, and A. Schwab, “A framework for automated cell tracking in phase contrast microscopic videos based on normal velocities,” Journal of Visual Communication and Image Representation, vol. 25, no. 2, pp. 396–409, 2014.
[326]
C. Feinen, J. Czajkowska, M. Grzegorzek, and L. Latecki, “Computer Vision and Machine Learning with RGB-D Sensors,” L. Shao, J. Han, P. Kohli, and Z. Zhang, Eds. Springer, 2014.
[327]
K. Shirahama, M. Grzegorzek, and K. Uehara, “Multimedia Event Detection Using Hidden Conditional Random Fields,” in International Conference on Multimedia Retrieval, Apr. 2014, pp. 9–16.
[328]
J. Czajkowska, C. Feinen, M. Grzegorzek, M. Raspe, and R. Wickenhoefer, “A New Aortic Aneurysm CT Series Registration Algorithm,” 2014.
[329]
L. Koeping, M. Grzegorzek, and F. Deinzer, “Probabilistic Step and Turn Detection in Indoor Localisation,” Apr. 2014.
[330]
M. Ihmsen, J. Orthmann, B. Solenthaler, A. Kolb, and M. Teschner, “SPH Fluids in Computer Graphics,” in Eurographics (State-of-the-Art Report), 2014, pp. 21–42.
[331]
C. Yang, C. Li, O. Tiebe, K. Shirahama, and M. Grzegorzek, “Shape-Based Classification of Environmental Microorganisms,” in International Conference on Pattern Recognition, Aug. 2014, pp. 3374–3379.
[332]
C. Yang, O. Tiebe, P. Pietsch, C. Feinen, U. Kelter, and M. Grzegorzek, “Shape-Based Object Retrieval by Contour Segment Matching,” 2014.
[333]
C. Feinen, J. Czajkowska, M. Grzegorzek, and L. Latecki, “3D Object Retrieval by 3D Curve Matching,” 2014.
[334]
J. Czajkowska, “Model-Based Fuzzy System for Multimodal Image Segmentation,” in Computational Intelligence Revised and Selected Papers of the International Joint Conference IJCCI 2013 held in Vilamoura, Portugal, August 2013, 2014, p. to appear.
[335]
C. Feinen, J. Czajkowska, M. Grzegorzek, M. Raspe, and R. Wickenhoefer, “Skeleton-Based Abdominal Aorta Registration Technique,” Aug. 2014.
[336]
C. Merfort, D. Schneider, and M. Boehm, “Proper spectral band adjustment for coloristic feature-based recognition of safety signs,” in Proc. SPIE, 2014, vol. 9088, pp. 90881C-90881C–12.
[337]
J. Shin and C. Ruland, “A Novel Design of Content based Multimedia Security,” in 9th Future Security Conference 2014, 2014, pp. 700–703.
[338]
J. Shin, D. Kim, and C. Ruland, “Content based Image Authentication using HOG feature descriptor,” in Image Processing (ICIP), 2014 21th IEEE International Conference on, 2014, pp. 5292–5296.
[339]
C. Feinen, C. Yang, O. Tiebe, and M. Grzegorzek, “Shape Matching Using Point Context and Contour Segments,” in Asian Conference on Computer Vision, Nov. 2014, p. Singapore.
[340]
C. Yang and M. Grzegorzek, “Object Similarity by Humans and Machines,” Nov. 2014.
[341]
T. Fetzer, L. Koeping, M. Grzegorzek, and F. Deinzer, “Statistical Indoor Localization Using Fusion of Depth-Images and Step Detection,” 2014.
[342]
F. Ebner, L. Koeping, M. Grzegorzek, and F. Deinzer, “Robust Self-Localization Using WiFi, Step/Turn-Detection and Recursive Density Estimation,” 2014.
[343]
J. Shin and C. Ruland, “A Hybrid Approach for Content Based Image Authentication,” in SECRYPT 2014, 11th International Conference on Security and Cryptography, 2014, pp. 371–378.
[344]
M. H. Conde, K. Hartmann, and O. Loffeld, “Subpixel Spatial Response of PMD Pixels,” in Imaging Systems and Techniques (IST), 2014 IEEE International Conference on, 2014, pp. 297–302.
[345]
M. H. Conde, K. Hartmann, and O. Loffeld, “Turning a ToF camera into an illumination tester: Multichannel waveform recovery from few measurements using compressed sensing,” in 3D Imaging (IC3D), 2014 International Conference on, 2014, pp. 1–8.
[346]
R. Sczech and P. H. Bolivar, “THz spectroscopy of bovine serum albumin solution using the long-range guided mode supported by thin liquid films,” in CLEO: 2014, 2014, p. SF1F.4.
[347]
V. Hosu, M. L. Ha, and T. Sim, “Light montage for perceptual image enhancement,” 2014.
[348]
J. Orthmann, “Efficient SPH-based Simulation and Rendering of Fluid Transport Dynamics,” phdthesis, Computer Graphics Group, University of Siegen, 2014.
[349]
D. Zukic, “An Efficient Inflation Method for Segmentation of Medical 3D Images,” phdthesis, Computer Graphics Group, University of Siegen, 2014.
[350]
A. K. Huhn, “Terahertz recognition of energetic materials : spectroscopic analysis and technological perspectives of imaging systems,” phdthesis, Universität Siegen, 2014.
[351]
J. Klein, “Correction of Multipath-Effects in Time-of-Flight Range Data,” Master Thesis, University of Siegen, 2014.
[352]
C. Zöller, “Simulation of Multipath Effects in Time-of-Flight Sensors,” mathesis, University of Siegen, 2014.
[353]
M. Wurm, “Vector Field Visualization for Time-Dependent SPH Concentration Fields,” Bachelor Thesis, University of Siegen, 2014.
[354]
W. D. To, “Generation of detailed surfaces through tessellation and displacement mapping of coarse surface models with a statistical description of a structure with fine resolution,” Bachelor Thesis, University of Siegen, 2014.
[355]
R. Winchenbach, “Efficient GPU-based Implementation of a Pressure Solver for Incompressible SPH Fluid Simulations,” Bachelor Thesis, University of Siegen, 2014.
[356]
J. Krajewski, M. Grzegorzek, M. Berking, M. Schieder, and M. Golz, “‘Yet Another Big Brother2’ – Leistung und Grenzen Smartphone-basierter Ueberwachung von psychopathologischen Zustaenden im Rahmen der Betrieblichen Gesundheitsfoerderung.” 18. Fachtagung der Gesellschaft fuer angewandte Wirtschaftspsychologie “Zukunft denken – Gegenwart gestalten. Beitraege der Wirtschaftspsychologie zur Gestaltung des 21. Jahrhunderts,” 2014.
[357]
M. Grzegorzek, M. Granitzer, S. Rueger, M. Sintek, T. Declerck, and M. Romanelli, “Trends in Semantic and Digital Media Technologies,” Multimedia Tools and Applications, vol. 62, no. 2, pp. 311–318, 2013.
[358]
J. Egger, D. Zukić, B. Freisleben, A. Kolb, and C. Nimsky, “Segmentation of Pituitary Adenoma: A Graph-based Method vs. a Balloon Inflation Method,” Computer Methods and Programs in Biomedicine, vol. 110, no. 3, pp. 268–278, 2013.
[359]
F. Heide, M. Rouf, M. Hullin, B. Labitzke, W. Heidrich, and A. Kolb, “High-Quality Computational Imaging Through Simple Lenses,” ACM Transactions on Graphics, vol. 32, no. 5, p. 149:1-149:14, 2013.
[360]
O. Schwaneberg, U. Köckemann, H. Steiner, S. Sporrer, A. Kolb, and N. Jung, “Material classification through distance aware multispectral data fusion,” Measurement Science and Technology, vol. 24, no. 4, p. 045001, 2013.
[361]
A. K. Huhn, G. Spickermann, A. Ihring, U. Schinkel, H.-G. Meyer, and P. H. Bolívar, “Uncooled antenna-coupled THz detectors with 22μs response time based on BiSb/Sb thermocouples,” Appl. Phys. Lett., 2013.
[362]
N. Sarmah, P. Chevalier, and U. R. Pfeiffer, “160-GHz Power Amplifier Design in Advanced SiGe HBT Technologies With Psat in Excess of 10 dBm,” IEEE Trans. Microwave Theory and Techniques, vol. 61, no. 99, pp. 1–9, 2013.
[363]
L. Maier-Hein et al., “Optical Techniques for 3D Surface Reconstruction in Computer-assisted Laparoscopic Surgery,” Medical Image Analysis, vol. 17, no. 8, pp. 974–996, 2013.
[364]
B. Langmann, K. Hartmann, and O. Loffeld, “Increasing the Accuracy of Time-of-Flight Cameras for Machine Vision Applications,” Computers in Industry, Special Issue: 3D Imaging in Industry, 2013.
[365]
M. Pätzold et al., “Simulation and Data-Processing Framework for Hybrid Synthetic Aperture THz Systems Including THz-Scattering,” IEEE Transactions on Terahertz Science and Technology, vol. 3, no. 5, pp. 625–634, Sep. 2013.
[366]
T. Hoegg, D. Lefloch, and A. Kolb, “Time-of-Flight Camera Based 3D Point Cloud Reconstruction of a Car,” Computers in Industry (3D Imaging), vol. 64, no. 9, pp. 1099–1144, 2013.
[367]
H. Steiner, O. Schwaneberg, and N. Jung, “Advances in Active Near-Infrared Sensor Systems for Material Classification and Skin Detection for Safety Applications,” J. Safety Science Monitor, vol. 17, no. 1, 2013.
[368]
J. Czajkowska, “Model-Based Fuzzy System for Multimodal Image Segmentation,” Proc. Int. Conf. Computational Intelligence (IJCCI), 2013.
[369]
J. Ding, M. Kahl, O. Loffeld, and P. H. Bolívar, “THz 3-D Image Formation Using SAR Techniques: Simulation, Processing and Experimental Results,” IEEE Trans. Terahertz Science and Technology, vol. 3, no. 5, pp. 606–616, 2013.
[370]
A. K. Huhn, E. Saenz, P. de Maagt, and P. H. Bolívar, “Broadband terahertz analysis of energetic materials – Influence of Crystal Structure and Additives,” IEEE Trans. THz Science and Technology, vol. 3, no. 5, pp. 649–655, 2013.
[371]
R. Sczech, D. Stock, R. Bornemann, and P. H. Bolívar, “Experimental Evidence for cm Propagation Lengths of Long-Range Guided Terahertz Radiation by Thin Layers of Water,” Applied Physics Letters, vol. 103, no. 3, p. 031106, 2013.
[372]
B. Langmann, W. Weihs, K. Hartmann, and O. Loffeld, “Investigation of a Long-Range Time-of-Flight and Color Imaging System,” Trans. Systems, Man, and Cybernetics – Part B: Cybernetics, no. 99, 2013.
[373]
M. H. Conde, F. Endres, W. Burgard, and R. Sanz, “Fast and Robust Feature Matching for RGB-D Based Localization,” CoRR, vol. 0, 2013.
[374]
M. Jamshidifar and P. H. Bolivar, “Diminishing relative jitter in electrooptic sampling of active mm-wave and THz circuits,” Optics express, vol. 21, no. 4, pp. 4396–4404, 2013.
[375]
D. Shahlaei, M. Wahl, H. Pu, and A. Belhoula, “Adaptive Media Player for In-Car Entertainment,” GMM-Fachbericht-AmE 2013, 2013.
[376]
M. Moeller and M. Burger, “Multiscale Methods for Polyhedral Regularizations,” SIAM Journal on Optimization, vol. 23, no. 3, pp. 1424–1456, 2013.
[377]
M. Burger, M. Moeller, M. Benning, and S. Osher, “An adaptive inverse scale space method for compressed sensing,” Mathematics of Computation, vol. 82, pp. 269–299, 2013.
[378]
Y. Yang, M. Moeller, and S. Osher, “A dual split Bregman method for fast \ell1 minimization,” Mathematics of Computation, vol. 82, pp. 2061–2085, 2013.
[379]
M. Grzegorzek, C. Theobalt, R. Koch, and A. Kolb, Time-of-Flight and Depth Imaging: Algorithms, Sensors and Applications. Heidelberg, Dordrecht, London, New York: Springer LNCS 8200, 2013.
[380]
J. Bader, C. Feinen, J. Hedrich, R. D. Carmo, and P. Scholl, Proceedings of the Joint Workshop of the German Research Training Groups in Computer Science. Dagstuhl, Germany: Pro Business Digital Printing Deutschland GmbH, 2013.
[381]
R. Nair et al., “Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications,” Springer, 2013, pp. 52–74.
[382]
D. Lefloch et al., “Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications,” vol. 8200, Springer Berlin Heidelberg, 2013, pp. 3–24.
[383]
B. Langmann, K. Hartmann, and O. Loffeld, “Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications,” vol. 8200, Springer Berlin Heidelberg, 2013, pp. 289–301.
[384]
D. Lefloch, T. Hoegg, and A. Kolb, “Real-Time Motion Artifacts Compensation of ToF Sensors Data on GPU,” in SPIE Defense, Security – Three-Dimensional Imaging, Visualization, and Display, 2013, pp. 87380U-87380U–7.
[385]
B. Labitzke and A. Kolb, “Efficient and Accurate Linear Spectral Unmixing,” 2013.
[386]
J. Hedrich, C. Yang, C. Feinen, S. Schaefer, D. Paulus, and M. Grzegorzek, “Extended Investigations on Skeleton Graph Matching for Object Recognition,” in 8th International Conference on Computer Recognition Systems, 2013, pp. 371–381.
[387]
M. Grzegorzek, C. Li, J. Raskatow, D. Paulus, and N. Vassilieva, “Texture-Based Text Detection in Digital Images with Wavelet Features and Support Vector Machines,” in 8th International Conference on Computer Recognition Systems, 2013, pp. 857–866.
[388]
C. Feinen, M. Grzegorzek, D. Barnowsky, and D. Paulus, “Robust 3D Object Skeletonisation for the Similarity Measure,” in 2nd International Conference on Pattern Recognition, Applications and Methods, 2013, pp. 167–175.
[389]
A. Amanpourgharaei, C. Feinen, and M. Grzegorzek, “Graph-Based Shape Representation for Object Retrieval,” in 2nd International Conference on Pattern Recognition, Applications and Methods, 2013, pp. 315–318.
[390]
N. Sarmah, B. Heinemann, and U. R. Pfeiffer, “A 135-170 GHz Power Amplifier in an advanced SiGe HBT technology,” 2013.
[391]
M. Keller, D. Lefloch, M. Lambers, S. Izadi, T. Weyrich, and A. Kolb, “Real-time 3D Reconstruction in Dynamic Scenes using Point-based Fusion,” in 2013 International Conference on 3D Vision – 3DV, 2013, pp. 1–8, DOI:10.1109/3DV.2013.9.
[392]
C. Li, K. Shirahama, M. Grzegorzek, F. Ma, and B. Zhou, “Classification of Environmental Microorganisms in Microscopic Images using Shape Features and Support Vector Machines,” in IEEE International Conference on Image Processing, Sep. 2013, pp. 2435–2439.
[393]
C. Li, K. Shirahama, J. Czajkowska, M. Grzegorzek, F. Ma, and B. Zhou, “A Multi-Stage Approach for Automatic Classification of Environmental Microorganisms,” in International Conference on Image Processing, Computer Vision, and Pattern Recognition, 2013, p. V II: 364-370.
[394]
J. Czajkowska, J. Kawa, Z. Czajkowski, and M. Grzegorzek, “4-D Fuzzy Connectedness-Based Medical Image Segmentation Technique,” in 20th International Conference on Mixed Design of Integrated Circuits and Systems, 2013, pp. 519–524.
[395]
B. Labitzke, M. Paltian, and A. Kolb, “Radviz-based Visual Analysis of Multispectral Images,” in Proc. Colour and Visual Computing Symposium (CVCS), Sep. 2013, pp. 1–6, DOI:10.1109/CVCS.2013.6626270.
[396]
J. Bader, M. Pätzold, and A. Kolb, “Constraint Up-Scaling for Direct and Global Image Components,” in Int. Conf. Central Europe on Computer Graphics, Journal of Visualization and Computer Vision (WSCG), 2013, vol. 21, no. 1, pp. 69–78.
[397]
K. Statnikov et al., “Methods For Determining The Exposure To THz Radiation Utilizing CMOS-Based Detectors,” in Proc. Int. Conf. Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), 2013, p. accepted for publication.
[398]
K. Statnikov, E. Ojefors, J. Grzyb, P. Chevalier, and U. R. Pfeiffer, “A 0.32 THz FMCW Radar System Based on Low-Cost Lens-Integrated SiGe HBT Front-Ends,” in Proc. European Solid-State Circuits Conference (ESSCIRC), 2013, p. accepted for publication.
[399]
B. Labitzke, F. Urrigshardt, and A. Kolb, “Expressive Spectral Error Visualization for Enhanced Spectral Unmixing,” in Proceedings of International Workshop on Vision, Modeling and Visualization, Sep. 2013, pp. 9–16.
[400]
J. Orthmann, H.Hochstetter, J. Bader, S. Bayraktar, and A. Kolb, “Consistent Surface Model for SPH-based Fluid Transport,” in Symposium on Computer Animation (SCA), 2013, pp. 95–103.
[401]
H. Hannak, H. Hochstetter, and W. Blochinger, “A Hybrid Parallel Barnes-Hut Algorithm for GPU and Multicore Architectures,” in Euro-Par 2013 Parallel Processing, 2013, vol. 8097, pp. 559–570.
[402]
T. Hoegg, D. Lefloch, and A. Kolb, “Real-Time Motion Artifact Compensation for PMD-ToF Images,” in Time-of-Flight and Depth Imaging, LNCS – INMWorkshop, 2013, vol. 8200, pp. 273–288.
[403]
S. Bayraktar, B. Labitzke, J. Bader, R. Bornemann, P. H. Bolívar, and A. Kolb, “Efficient, Robust, and Scale-Invariant Decomposition of Raman Spectra,” in Proceedings of Signal and Image Processing Applications (ICSIPA), 2013, pp. 317–321.
[404]
K. Shirahama, C. Li, M. Grzegorzek, and K. Uehara, “University of Siegen, Kobe University, and Muroran Institute of Technology at TRECVID 2013 Multimedia Event Detection,” in TRECVID 2013 Multimedia Event Detection, 2013, p. online.
[405]
M. Zang et al., “Development and Application of Electromagnetic Field Excitation Models for Human Dosimetry Studies in the THz Range,” 2013.
[406]
J. Czajkowska, “Fuzzy Model Based Algorithm for 3-D Bone Tumour Analysis,” in Proc. Int. Conf. Fuzzy Computation Theory and Applications (FCTA), 2013, pp. 185–192.
[407]
J. Grzyb, R. A. Hadi, and U. Pfeiffer, “Lens-Integrated On-Chip Antennas for THz Direct Detectors in SiGe HBT,” 2013.
[408]
J. Grzyb, R. A. Hadi, Y. Zhao, and U. Pfeiffer, “Toward Room-Temperature All-Silicon Integrated THz Active Imaging,” in Proc. Europ. Conf. Antennas and Propagation (EuCAP), 2013, pp. 1740–1744.
[409]
B. Langmann et al., “MOVEDETECT – Secure Detection, Localization and Classification in Wireless Sensor Networks,” in Proc. Int. Conf. Next Generation Wired/Wireless Advanced Networking, 2013, vol. 8121, pp. 284–297.
[410]
D. Shahlaei, M. Wahl, H. Pu, and A. Belhoula, “Adaptive Media Player for In-Car Entertainment.,” 2013.
[411]
J. Shin and C. Ruland, “A survey of image hashing technique for data authentication in WMSNs,” in Wireless and Mobile Computing, Networking and Communications (WiMob), 2013 IEEE 9th International Conference on, 2013, pp. 253–258.
[412]
M. H, “Fusion von Farbbildern und Laserdaten zur Terrainklassifikation,” 2013.
[413]
J. Hedrich and N. Wojke, “Adaptivität-Sicherheit-Paradoxon in der Robotik,” in INFORMATIK 2013 – Informatik angepasst an Mensch, Organisation und Umwelt, 2013, pp. 1085–1095.
[414]
S. Beigpour et al., “Intrinsic Image Evaluation On Synthetic Complex Scenes,” 2013.
[415]
M. Jamshidifar and P. H. Bolivar, “Extremely low-jitter and ultra-broadband electrooptic sampling system for near field sensing of active and passive sub-THz electronic devices,” in Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), 2013 38th International Conference on, 2013, pp. 1–2.
[416]
M. Jamshidifar, G. Spickermann, H. S. Eberwein, and P. H. Bolivar, “Low-jitter electrooptic sampling of active mm-Wave devices up to 300 GHz,” in Microwave Conference (EuMC), 2013 European, 2013, pp. 752–754.
[417]
R. Sczech et al., “Coupling and cm propagation of long-range guided THz radiation in thin layers of water,” in CLEO: Science and Innovations, 2013, pp. CM3J-6.
[418]
J. Klein et al., “User Interface for Volume Rendering in Virtual Reality Environments,” Computer Graphics Group, University of Siegen, techreport, 2013.
[419]
O. Schwaneberg, “Concept, System Design, Evaluation and Safety Requirements for a Multispectral Sensor,” phdthesis, University of Siegen, 2013.
[420]
B. Labitzke, “Visualization and Analysis of Multisprectral Data,” phdthesis, University of Siegen, 2013.
[421]
S. Beigpour, “Illumination and object reflectance modeling,” phdthesis, Universitat Autonoma de Barcelona, 2013.
[422]
B. Langmann, “Wide Area 2D/3D Imaging: Development, Analysis and Applications,” phdthesis, Universität Siegen, 2013.
[423]
R. A. Hadi, “Terahertz Integrated Circuits in Silicon Technologies,” phdthesis, Bergische Universität Wuppertal, 2013.
[424]
R. Schick, “Nichtabstreitbarkeit der Weitergabe von Dokumenten,” phdthesis, Universität Siegen, 2013.
[425]
C. Merfort, “Increasing performance of multispectral systems by an analytical selection of spectral bands using an example of a-Si:H photodiodes,” phdthesis, Universität Siegen, 2013.
[426]
R. Buunk, “Choosing Colors for Visualization Applications,” Bachelor Thesis, University of Siegen, 2013.
[427]
T. Diefenthal, “Mesh Refinement for Dynamic Terrain Data,” Diplomarbeit, University of Siegen, 2013.
[428]
S. Beck et al., “Mit Robotern gegen den Pflegenotstand.” Policy Brief, Stiftung Neue Verantwortung, Berlin, Aug. 2013.
[429]
Sczech et al., “Verfahren und Vorrichtung für die Analytik an flüssigen Systemen im Terahertz Frequenzbereich.” wO Patent App. PCT/EP2012/070,341, 2013.
[430]
J. Egger et al., “Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape,” PLoS ONE, vol. 7, no. 2, p. e31064, 2012.
[431]
O. Schwaneberg, H. Steiner, P. H. Bolívar, and N. Jung, “Design of an LED-based sensor system to distinguish human skin from workpieces in safety applications,” Appl. Opt., vol. 51, no. 12, pp. 1865–1871, 2012.
[432]
X. Jiang, M. Lambers, and H. Bunke, “Structural Performance Evaluation of Curvilinear Structure Detection Algorithms with Application to Retinal Vessel Segmentation,” Pattern Recognition Letters, vol. 33, no. 15, pp. 2048–2056, Nov. 2012.
[433]
B. Labitzke, S. Bayraktar, and A. Kolb, “Generic Visual Analysis for Multi- and Hyperspectral Data,” Data Mining and Knowledge Discovery, Special Issue: Intelligent Data Visualization, pp. 117–145, Aug. 2012.
[434]
J. Orthmann and A. Kolb, “Temporal Blending for Adaptive SPH,” Computer Graphics Forum, vol. 31, no. 8, p. p 2436-2449, 2012.
[435]
M. Schumacher and V. Blanz, “Which facial profile do humans expect after seeing a frontal view2 a comparison with a linear face model,” j-TAP, vol. 9, no. 3, p. 11:1-11:16, 2012.
[436]
M. Jamshidifar, G. Spickermann, H. Schäfer, and P. H. Bolívar, “200-GHz bandwidth on wafer characterization of CMOS nonlinear transmission line using electro-optic sampling,” Microwave Opt. Tech. Lett., vol. 54, pp. 1858–1862, 2012.
[437]
R. A. Hadi et al., “A 1 k-Pixel Video Camera for 0.7–1.1 Terahertz Imaging Applications in 65-nm CMOS,” IEEE Journal of Solid-State Circuits, vol. 47, no. 12, pp. 2999–3012, 2012.
[438]
M. Seifert, A. Gohr, M. Strickert, and I. Grosse, “Parsimonious Higher-Order Hidden Markov Models for Improved Array-CGH Analysis with Applications to Arabidopsis thaliana,” PLoS Computational Biology, vol. 8, 2012.
[439]
R. Sczech and G. Jaime, “Long-range guided THz radiation by thin layers of water,” Optics express, vol. 20, no. 25, pp. 27781–27791, 2012.
[440]
M. Moeller, T. Wittman, A. L. Bertozzi, and M. Burger, “A Variational Approach for Sharpening High Dimensional Images,” SIAM Journal on Imaging Sciences, vol. 5, no. 1, pp. 150–178, 2012.
[441]
E. Esser, M. Moeller, S. Osher, G. Sapiro, and J. Xin, “A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space,” IEEE Transactions on Image Processing, vol. 21, no. 7, pp. 3239–3252, 2012.
[442]
Sczech et al., “Long-range guided THz radiation by thin layers of water,” Optics Express, vol. 20, pp. 27781–27791, 2012.
[443]
C. Koehler, M. Schnittert, U. Kelter, and A. Terfloth, “Model-based Definition and Analysis of Software-Execution-Traces in the Context of State Machines,” 2012.
[444]
S. Duchêne, M. Lambers, and F. Devernay, “A Stereoscopic Movie Player with Real-Time Content Adaptation to the Display Geometry,” 2012.
[445]
B. Langmann, K. Hartmann, and O. Loffeld, “Depth Camera Technology Comparison and Performance Evaluation,” in International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012), 2012, pp. 438–444.
[446]
C. Koehler, A. Mayer, and M. Wurm, “Combined Hardware and Software Tracing of Real and Virtual Embedded System Parts,” 2012.
[447]
M. Kahl et al., “Stand-off real-time synthetic imaging at mm-wave frequencies,” in Passive and Active Millimeter-Wave Imaging XV, 2012, vol. 8362, no. 1, p. 836208.
[448]
C. Merfort, A. Bablich, O. Schwaneberg, K. Watty, and M. Boehm, “Application specific band selection with multivariate methods of analysis for a-Si:H multispectral photodiodes,” in Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 2012, vol. 8390, no. 1, p. 839024.
[449]
A. Bablich, K. Watty, C. Merfort, and M. Böhm, “FIB-assisted a-SiGe:H/a-SiC:H alloy analysis for ultra-low biased multispectral pixn sensors with enhanced color separation features and low reflective ZnO:Al back-contacts,” 2012.
[450]
K. Watty, A. Bablich, K. Seibel, C. Merfort, and M. Böhm, “Novel approach to improve reliable color recognition in a-Si:H photodiodes,” in Proc. SPIE 8376, 83760N (2012), 2012, vol. 65535.
[451]
O. Tiebe, P. Spitzer, and M. Grzegorzek, “Image-Based Dice Interpretation for a Yahtzee Game,” in 2nd International Conference on Digital Information Processing and Communications, 2012, pp. 138–140.
[452]
M. Grzegorzek and P. Lubina, “Blood Vessel Segmentation in HRT Images for Glaucoma Early Detection,” in 3rd International Conference Information Technologies in Biomedicine, 2012, pp. 1–12.
[453]
K. Shirahama, K. Uehara, and M. Grzegorzek, “Examining the Applicability of Virtual Reality Technique for Video Retrieval,” in 10th Workshop on Content-Based Multimedia Indexing, 2012, pp. 211–216.
[454]
M. Lambers and A. Kolb, “Ellipsoidal Cube Maps for Accurate Rendering of Planetary-Scale Terrain Data,” in Proc. Pacific Graphics (Short Papers), Sep. 2012, pp. 5–10.
[455]
R. Schick and C. Ruland, “Non-Repudiation of Forwarding – Traceability of confidential data,” in Proc. of International Conference on Security and Cryptography, 2012, pp. 387–390.
[456]
R. Schick and C. Ruland, “On the Security of the Non-Repudiation of Forwarding Service,” in Proc. of International Conference on Security and Cryptography, 2012, pp. 167–178.
[457]
H. Steiner, O. Schwaneberg, and N. Jung, “Advances in Active Near-Infrared Sensor Systems for Material Classification,” in Imaging Systems and Applications, 2012, p. ITu2C.2.
[458]
D. Zukić et al., “Segmentation of Vertebral Bodies in MR Images,” in Vision, Modeling and Visualization, Nov. 2012, pp. 135–142.
[459]
C. Merfort, A. Bablich, O. Schwaneberg, K. Watty, and M. Böhm, “Multivariate Analysis of a-SiGe:H Multispectral Photodiodes for Proper Band Selection,” in Proc. Conf. Material Research Society (MRS), 2012, vol. 1437.
[460]
O. Spathmann et al., “Attempts for exposure assessment in the THz-frequency range using numerical computations,” in Int. Symp. Electromagnetic Compatibility (EMC EUROPE), 2012, pp. 1–5.
[461]
R. A. Hadi, J. Grzyb, B. Heinemann, and U. Pfeiffer, “Terahertz detector arrays in a high-performance SiGe HBT technology,” 2012.
[462]
A. Bablich, K. Watty, C. Merfort, and B. M., “Color Separation Enhancement of pixn Diodes by Optimizing Absorption Regions of a-SiGe:H/a-SiC:H Alloys and Using a Low Reflective Al-doped ZnO Cathode,” in Proc. Conf. Material Research Society (MRS), 2012, vol. 1426, no. 1.
[463]
M. Bugdol, J. Czajkowska, and E. Pietka, “A novel model-based approach to left ventricle segmentation,” in Proc. Int. Conf. Computing in Cardiology (CinC), 2012, pp. 561–564.
[464]
J. Grzyb et al., “Real-time video rate imaging with a 1k-pixel THz CMOS focal-plane array,” in Proc. SPIE Defense, Security, and Sensing, 2012, vol. 8362, p. 83620C.
[465]
A. K. Huhn, E. Saenz, P. de Maagt, and P. H. Bolívar, “Broadband terahertz analysis of energetic materials – Composition and preparation dependencies,” 2012.
[466]
A. K. Huhn, G. Spickermann, A. Ihring, U. Schinkel, H. Meyer, and P. H. Bolívar, “Fast antenna-coupled terahertz detectors based on uncooled thermoelements,” 2012.
[467]
H. Sherry et al., “A 1k-Pixel CMOS Camera Chip for 25fps Real-Time Terahertz Imaging Applications,” in Proc. IEEE Int. Solid-State Circuits Conf., 2012, pp. 252–254.
[468]
M. Strickert and M. Seifert, “Posterior regularization and attribute assessment of under-determined linear mappings,” 2012.
[469]
K. Watty, A. Bablich, K. Seibel, C. Merfort, and M. Böhm, “Development of Three-Terminal Photodiodes Based on a-Si:H with an Additional Buried TCO Electrode,” in Proc. Conf. Material Research Society (MRS), 2012, vol. 1426, no. 1.
[470]
H. Steiner, O. Schwaneberg, S. Sporrer, J. Konrad, and N. Jung, “Spectral Light Curtains – Novel Near-Infrared Sensor System for Production Machines,” in Safety of Industrial Automated Systems – SIAS 2012, 7th Int. Conf., 2012, pp. 75–80.
[471]
M. Moeller, “The adaptive inverse scale space method for hyperspectral unmixing,” in 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012, pp. 7492–7495.
[472]
G. Spickermann, “Terahertz-imaging with demodulating detector array,” phdthesis, Universität Siegen, 2012.
[473]
J. Klein, “Terrain Shading,” Bachelor Thesis, University of Siegen, 2012.
[474]
S. Hesse, “Optimierung von PMD-basierten Tiefenkarten mittels Moving-Least-Squares-Verfahren,” mathesis, Computer Graphics Group, University of Siegen, 2012.
[475]
M. Limper, “Efficient Volume Raycasting for Interactive SPH Applications,” Diplomarbeit, University of Siegen, 2012.
[476]
F. Urrigshardt, “Optimiertes Spectral Unmixing durch expressive Visualisierung spektraler Fehler,” Diplomarbeit, Computer Graphics Group, University of Siegen, 2012.
[477]
M. Paltian, “Interaktive Exploration multispektraler Bilddaten auf Basis radialer Plots,” Bachelor Thesis, Computer Graphics Group, University of Siegen, 2012.
[478]
M. Gudelius, “Oberflächenrekonstruktion für SPH-Partikeldaten,” Master, Universität Siegen / Computergraphik, 2012.
[479]
T. Klinkert, “Simulation of a 3D THz imaging system based on first order surface elements,” Diplomarbeit, Universität Siegen / Computergraphik, 2012.
[480]
J. Reckling, “Per Partikel Zeit-Adaptive SPH Simulation Per Particle Time-Adaptive SPH Simulation,” Diplomarbeit, University of Siegen, 2012.
[481]
W. Wang, “Industrial Image Data Processing 3D Object Capturing with the Kinect-Camera,” Bachelor Thesis, University of Siegen, 2012.
[482]
F. Alghabi et al., “Real-Time Processing of pnCCD Images Using GPUs.” 14th International Workshop on Radiation Imaging Detectors, 2012.
[483]
F. Bahr et al., “Schoenes neues Internet2 Chancen und Risiken fuer Innovation in digitalen Oekosystemen.” Policy Brief, Stiftung Neue Verantwortung, Berlin, Sep. 2012.
[484]
D. Yu, M. Piotraschke, and L. Sibille, “Automatic partitioning and recognition of human body regions from an arbitrary scan coverage image.” US Patent 8,170,306, 2012.
[485]
I. Chiosa and A. Kolb, “GPU-based Multilevel Clustering,” IEEE Transactions on Visualization and Computer Graphics (TVCG), vol. 17, no. 2, pp. 132–145, 2011.
[486]
M. Seifert, M. Strickert, A. Schliep, and I. Grosse, “Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models,” Bioinformatics, 2011.
[487]
J. Keilwagen, J. Grau, I. A. Paponov, S. Posch, M. Strickert, and I. Grosse, “De-Novo Discovery of Differentially Abundant Transcription Factor Binding Sites Including Their Positional Preference,” PLoS Computational Biology, vol. 7, no. 2, p. e1001070, 2011.
[488]
B. Langmann, K. Hartmann, and O. Loffeld, “Comparison of Depth Super-Resolution Methods for 2D/3D Images,” International Journal of Computer Information Systems and Industrial Management Applications, vol. 3, pp. 635–645, 2011.
[489]
A. J. Soto, G. E. Vazquez, M. Strickert, and I. Ponzoni, “Target-Driven Subspace Mapping Methods and Their Applicability Domain Estimation,” Molecular Informatics, vol. 30, pp. 779–789, Sep. 2011.
[490]
R. A. Hadi et al., “A Broadband 0.6 to 1 THz CMOS Imaging Detector with an Integrated Lens,” IMS Baltimore, MD, 2011.
[491]
H. Sherry et al., “Lens-Integrated THz Imaging Arrays in 65nm CMOS Technologies,” RFIC Baltimore, MD, pp. 365–368, 2011.
[492]
P. Decker, S. Thierfelder, D. Paulus, and M. Grzegorzek, “Dense Statistical versus Sparse Feature-Based Approach for 3D Object Recognition,” Pattern Recognition and Image Analysis, vol. 21, no. 2, pp. 238–241, 2011.
[493]
C. Debus, G. Spickermann, M. Nagel, and P. H. Bolívar, “All-electronic terahertz spectrometer for biosensing,” Microwave Opt. Tech. Lett., vol. 53, no. 12, pp. 2899–2902, 2011.
[494]
F. Friederich et al., “THz Active Imaging Systems with Real-Time Capabilities,” IEEE Trans. THz Sci. Tech., vol. 1, pp. 183–200, 2011.
[495]
R. Schick and C. Ruland, “Data Leakage Tracking Non – Repudiation of Forwarding,” Informatics Engineering and Information Science, pp. 163–173, 2011.
[496]
C. Seiler et al., “ABA biosynthesis and degradation contributing to ABA homeostasis during barley seed development under control and terminal drought-stress conditions,” Journal of Experimental Botany, vol. 62, no. 8, pp. 2615–2632, 2011.
[497]
K. Witzel et al., “Mapping of quantitative trait loci associated with protein expression variation in barley grains,” Molecular Breeding, vol. 27, pp. 301–314, 2011.
[498]
C. Koehler, Enhancing Embedded Systems Simulation – A Chip-Hardware-in-the-Loop Simulation Framework. Vieweg+Teubner Verlag, 2011.
[499]
T. Declerck, M. Granitzer, M. Grzegorzek, M. Romanelli, S. Rueger, and M. Sintek, Semantic Multimedia. Heidelberg, Dordrecht, London, New York: Springer LNCS 6725, 2011.
[500]
A. J. Soto, M. Strickert, G. E. Vazquez, and E. Milios, “Lecture Notes in Artificial Intelligence,” vol. 6657, C. Butz and P. Lingras, Eds. Springer-Verlag Berlin Heidelberg, 2011, pp. 377–383.
[501]
J. Bader, B. Labitzke, M. Grzegorzek, and A. Kolb, “Biometrics,” A. Mitas, Ed. Gliwice, Poland: Faculty of Biomedical Engineering, Silesian University of Technology, 2011, pp. 87–116.
[502]
D. Zukić et al., “Preoperative Volume Determination for Pituitary Adenoma,” in Proc. SPIE Medical Imaging, 2011, vol. 7963, no. 1, p. 79632T.
[503]
M. Strickert, B. Labitzke, A. Kolb, and T. Villmann, “Multispectral image characterization by partial generalized covariance,” in European Symp. on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr. 2011, pp. 105–110.
[504]
M. Strickert, B. Labitzke, and V. Blanz, “Partial generalized correlation for hyperspectral data,” in IEEE Symposium on Computational Intelligence and Data Mining, Apr. 2011, pp. 325–330.
[505]
X. Jiang, M. Lambers, and H. Bunke, “Structure-Based Evaluation Methodology for Curvilinear Structure Detection Algorithms,” in Proc. IAPR-TC15 Workshop on Graph-based Representations in Pattern Recognition, 2011, pp. 305–314.
[506]
C. Feinen, M. Grzegorzek, D. Droege, and D. Paulus, “A Generic Approach to the Texture Detection Problem in Digital Images,” in 7th International Conference on Computer Recognition Systems, 2011, pp. 375–384.
[507]
J. Moll, C. Rezk-Salama, R. Schulte, T. Klinkert, C.-P. Fritzen, and A. Kolb, “Interactive Simulation and Visualization of Lamb Wave Propagation in Isotropic and Anisotropic Structures,” 2011.
[508]
A. Bablich, K. Watty, C. Merfort, K. Seibel, and M. Böhm, “A Novel High-Dynamic a-Si:H Multicolor pin-Detector with ZnO:Al Front and Back Contacts,” in MRS Proceedings 2011, 2011, vol. 1305.
[509]
K. Watty, A. Bablich, K. Seibel, C. Merfort, and M. Böhm, “Amorphous Photodiode with an Intermediate Contact for Improved Color Separation,” in MRS Proceedings 2011, 2011, vol. 1305.
[510]
C. Merfort, K. Seibel, A. Bablich, K. Watty, and M. Böhm, “Continuous Tunable Optical Detector with a-Si:H Bias Sensitive Photodiodes,” in MRS Proceedings 2011, 2011, vol. 1305.
[511]
M. Ihmsen, J. Bader, G. Akinci, and M. Teschner, “Animation of Air Bubbles with SPH,” in Int. Conf. on Computer Graphics Theory and Applications GRAPP 2011, 2011, pp. 225–234.
[512]
O. Lottner, B. Langmann, W. Weihs, and K. Hartmann, “Scanning 2D/3D monocular camera,” in 3DTV Conference: The True Vision – Capture, Transmission and Display of 3D Video (3DTV-CON), 2011, 2011, pp. 1–4.
[513]
B. Langmann, K. Hartmann, and O. Loffeld, “Global Multi-View Tracking utilizing Color and ToF Cameras by Combining Volumetric and Photometric Measures,” in International Conference on Computer Vision Theory and Applications (VISAPP 2011), 2011, pp. 694–699.
[514]
C. Merfort, A. Bablich, O. Schwaneberg, K. Watty, and M. Boehm, “The Top Down Design Flow of a-Si:H Photodiodes with Multivariate Methods of Analysis,” Sep. 2011.
[515]
R. Schick and C. Ruland, “Document Tracking – On the Way to a New Security Service,” in Conference on Network and Information Systems Security (SAR-SSI) 2011, 2011, pp. 89–93.
[516]
R. Schick and C. Ruland, “Data Leakage Tracking – Non-Repudiation of Forwarding,” in Conference on Informatics Engineering and Information Science (ICIEIS) 2011, 2011, pp. 163–173.
[517]
M. Strickert, “Enhancing MGRLVQ by quasi step discriminatory functions using 2nd order training,” in MIWOCI 2011, 3rd Mittweida Workshop on Computational Intelligence, 2011, pp. 5–15.
[518]
K. Statnikov, E. Ojefors, Y. Zhao, and U. R. Pfeiffer, “Towards 3D-imaging with low-cost SiGe-Technology at 160GHz,” in New Circuits and Systems Conference (NEWCAS), 2011 IEEE 9th International, 2011, pp. 261–264.
[519]
R. Schick and C. Ruland, “Introduction of a New Non-Repudiation Service to Protect Sensitive Private Data,” in Proceedings of International Conference on Advances in Information and Communication Technologies, 2011, pp. 71–76.
[520]
R. A. Hadi et al., “A broadband 0.6 to 1 THz CMOS imaging detector with an integrated lens,” in Microwave Symposium Digest (MTT), 2011 IEEE MTT-S International, 2011, pp. 1–4.
[521]
M. Grzegorzek, D. Schwerbel, D. Balthasar, and D. Paulus, “Automatic Sorting of Alluminium Alloys Based on Spectroscopy Measures,” in 35th Annual Workshop of the Austrian Association for Pattern Recognition, 2011, p. Online Publication.
[522]
C. Debus, G. Spickermann, M. Nagel, and P. H. Bolívar, “High-Speed THz Biochip Reader System,” in Proc. CLEO, 2011, p. ATuE6.
[523]
G. Spickermann and P. H. Bolívar, “Towards a real-time electro-optical THz microscope using a demodulating optical detector array,” in Proc. CLEO, 2011, p. CThV1.
[524]
C. Merfort, K. Seibel, K. Watty, and M. Böhm, “Continuous Tunable Optical Detectors with a-Si:H Bias Sensitive Photodiodes,” in Proc. Conf. Material Research Society (MRS), 2011, vol. 1305.
[525]
O. Schwaneberg, U. Köckemann, H. Steiner, and N. Jung, “A Near-Infrared LED-based Material Classification Sensor Systems,” in Optical Sensors, 2011, p. SMD4.
[526]
Sherry et al., “Lens-integrated THz imaging arrays in 65nm CMOS technologies,” in Proc. Symp. Radio Freq. Integr. Circuits, 2011, pp. 365–368.
[527]
A. J. Soto, M. Strickert, G. E. Vazquez, and E. Milios, “Subspace Mapping of Noisy Text Documents,” in Proc. Canadian Conf. Artificial Intelligence, 2011, pp. 377–383.
[528]
J. van de Weijer and S. Beigpour, “The Dichromatic Reflection Model – Future Research Directions and Applications,” 2011.
[529]
S. Beigpour and J. van de Weijer, “Object Recoloring based on Intrinsic Image Estimation,” Nov. 2011.
[530]
F. Friederich et al., “THz active imaging systems with real-time capabilities,” in IEEE Trans. THz Science and Technology, 2011, vol. 1, no. 1, pp. 183–200.
[531]
R. Cespi, A. Kolb, and M. Lindner, “Hand Tracking based on Hierarchical Clustering of Range Data,” Computer Graphics Group, University of Siegen, techreport, 2011.
[532]
M. Lambers, “Interactive Visualization of Remote Sensing Data,” phdthesis, University of Siegen, 2011.
[533]
T. Klein, “Gesture Recognition for Virtual Reality Applications,” Bachelor Thesis, University of Siegen, 2011.
[534]
F. Heide, “Deblurring of multispectral images,” Master Thesis, Computer Graphics Group, University of Siegen, 2011.
[535]
R. Cespi, “Detektion und Tracking von Händen in TOF Tiefeninformationen,” Bachelorthesis, Computer Graphics Group, University of Siegen, 2011.
[536]
B. Schröder, “Brain Tumor Segmentation,” Bachelor Thesis, Computer Graphics Group, University of Siegen, 2011.
[537]
M. Grebe, “Discrepancy Visualization of Diffusion Processes among Micro Fluids,” mathesis, University of Siegen, 2011.
[538]
A. Kolb, “Foundations of Time-of-Flight Cameras and their Application to Surface Reconstruction.” MICCAI Tutorial on 3D Surface Reconstruction in Laparoscopic Surgery, Sep. 2011.
[539]
M. Lindner, I. Schiller, A. Kolb, and R. Koch, “Time-of-Flight Sensor Calibration for Accurate Range Sensing,” Computer Vision and Image Understanding, vol. 114, no. 12, pp. 1318–1328, 2010.
[540]
A. Kolb, E. Barth, R. Koch, and R. Larsen, “Time-of-Flight Cameras in Computer Graphics,” Computer Graphics Forum, vol. 29, no. 1, pp. 141–159, 2010.
[541]
K. Watty, C. Merfort, K. Seibel, L. Schöler, and M. Böhm, “A fully integrated optical detector with a-Si:H based color photodiodes,” Phys. Status Solidi (PSS), vol. 207, no. 3, pp. 700–703, 2010.
[542]
M. Lambers and A. Kolb, “Dynamic Terrain Rendering,” 3D Research, vol. 1, no. 4, pp. 1–8, 2010.
[543]
S. Bayraktar, U. Gudukbay, and B. Ozguc, “Particle-based Simulation and Visualization of Fluid Flows through Porous Media,” Journal of Visualization, vol. 13, no. 4, pp. 327–336, Nov. 2010.
[544]
T. Ropinski, C. Döring, and C. Rezk-Salama, “Advanced Volume Illumination with Unconstrained Light Source Positioning,” IEEE Computer Graphics and Applications, p. 41, 2010.
[545]
K. Witzel et al., “Mapping of quantitative trait loci associated with protein expression variation in barley grains,” Molecular Breeding, pp. 1–14, 2010.
[546]
M. Grzegorzek, M. Trierscheid, D. Papoutsis, and D. Paulus, “3D Teeth Segmentation from Dentition Surfaces,” ICGST International Journal on Graphics, Vision and Image Processing, GVIP, vol. 10, no. 6, pp. 29–35, 2010.
[547]
M. Grzegorzek, D. Duce, S. Handschuh, L. Hardman, and M. Spagnuolo, “Introduction to the Special Issue on Semantic and Digital Media Technologies,” Multimedia Tools and Applications, vol. 49, no. 1, pp. 1–5, Aug. 2010.
[548]
M. Grzegorzek, “A System for 3D Texture-Based Probabilistic Object Recognition and Its Applications,” International Journal on Pattern Analysis and Applications, vol. 13, no. 3, pp. 333–348, 2010.
[549]
M. Grzegorzek, S. Sav, E. Izquierdo, and N. E. O’Connor, “Local Wavelet Features for Statistical Object Classification and Localisation,” IEEE Multimedia, vol. 17, no. 1, pp. 56–66, 2010.
[550]
C. Merfort, K. Seibel, K. Watty, and M. Böhm, “Monolithically integrated μ-capillary electrophoresis with organic light sources and tunable a-Si:H multispectral photodiodes for fluorescence detection,” Microelectronic Engineering, vol. 87, no. 5, pp. 712–714, 2010.
[551]
J. Keilwagen, J. Grau, S. Posch, M. Strickert, and I. Grosse, “Unifying generative and discriminative learning principles,” BMC Bioinformatics, vol. 11, no. 1, 2010.
[552]
N. Sreenivasulu et al., “De-regulation of abscisic acid contents causes abnormal endosperm development in the barley mutant seg8,” The Plant Journal, vol. 64, no. 4, pp. 589–603, 2010.
[553]
S. Rahmani, M. Strait, D. Merkurjev, M. Moeller, and T. Wittman, “An Adaptive IHS Pan-Sharpening Method,” IEEE Geoscience and Remote Sensing Letters, vol. 7, no. 4, pp. 746–750, 2010.
[554]
R. Larsen, E. Barth, and A. K. (editors), Computer Vision and Image Understanding, Special issue on Time-of-Flight Camera Based Computer Vision, vol. 114. Elsevier, 2010.
[555]
R. Koch, A. Kolb, and C. R.-S. (editors), Proc. Vision, Modeling & Visualization. Eurographics Association, 2010.
[556]
T. Ropinski, C. Dörsing, and C. Rezk-Salama, “Interactive Volumetric Lighting Simulating Scattering and Shadowing,” 2010.
[557]
N. Baktash, E. Öjefors, H. Keller, and U. R. Pfeiffer, “Silicon Integrated Patch Antennas for Terahertz Imaging Applications,” in Proceedings of the German Microwave Conference 2010, 2010, pp. 13–15.
[558]
M. Strickert, A. J. Soto, and G. E. Vazquez, “Adaptive matrix distances aiming at optimum regression subspaces,” in Proceedings of the European Symposium on Artificial Neural Networks (ESANN), 2010, pp. 93–98.
[559]
M. Banf et al., “On-Demand Creation of Procedural Cities,” in Proc. Game and Entertainment Technologies, Apr. 2010, pp. 69–76.
[560]
C. Koehler, A. Mayer, and A. Herkersdorf, “Chip Hardware-in-the-Loop Simulation Framework,” in Simulation und Test für Automobilelektronik III – Vom Konzept bis zur Serie, 2010, pp. 439–448.
[561]
M. Lambers and A. Kolb, “Visual Assistance Tools for Interactive Visualization of Remote Sensing Data,” in Proc. Int. IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2010, pp. 4745–4748.
[562]
B. Langmann, K. Hartmann, and O. Loffeld, “Depth Assisted Background Subtraction for Color Capable ToF-Cameras,” in Proceedings of the 2010 International Conference on Image and Video Processing and Computer Vision (IVPCV-10), 2010, pp. 75–82.
[563]
B. Langmann, S. E. Ghobadi, K. Hartmann, and O. Loffeld, “Multi-Modal Background Subtraction using Gaussian Mixture Models,” in ISPRS Technical Commission III Symposium on Photogrammetry Computer Vision and Image Analysis (PCV 2010), 2010, pp. 61–66.
[564]
B. Langmann, K. Hartmann, and O. Loffeld, “Comparison of Bilateral Filtering Strategies for Video Processing in Color and Depth,” in Proceedings of the IADIS International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing 2010 (CGVCVIP 2010), 2010, pp. 76–84.
[565]
D. Zukić et al., “Glioblastoma Multiforme Segmentation in MRI Data with a Balloon Inflation Approach,” in Proc. of the 6th Russian-Bavarian Conference on Bio-Medical Engineering, Nov. 2010, pp. 40–44.
[566]
L. Brückbauer, C. Rezk-Salama, and A. Kolb, “Relighting Spherical Light Fields With Polynomial Texture Mapping,” 2010.
[567]
J. Orthmann, M. Keller, and A. Kolb, “Topology-Caching for Dynamic Particle Volume Raycasting,” in Proc. Vision, Modeling and Visualization, Nov. 2010, pp. 147–154.
[568]
J. Egger et al., “A Comparison of Two Human Brain Tumor Segmentation Methods for MRI Data,” in Prof. of the 6th Russian-Bavarian Conference on Bio-Medical Engineering, Nov. 2010, pp. 9–13.
[569]
S.Fuchs, S. Haddadin, M. Keller, S. Parusel, A. Kolb, and M. Suppa, “Cooperative Bin Picking with ToF-Camera and Impedance Controlled DLR Light-Weight Robot III,” in Proc. International Conference on Intelligent Robots and Systems (IROS), 2010, pp. 4862–4867.
[570]
M. Strickert, “Linear Data Association Mapping by Supervised Metric Adaptation,” in MIWOCI 2010, Mittweida Workshop on Computational Intelligence, 2010, pp. 5–17.
[571]
H. Steiner, A. Asteroth, N. Jung, V. Kamin, and O. Schwaneberg, “Safety Assessment of a Material Classifying Safety Sensor using ISO 13849-1 supplemented by Model Checking,” 2010.
[572]
R. Schick, S. Tcaciuc, and C. Ruland, “Information Security of Multimodal Input Data – Traceability of Image Data,” in 3rd Conference on Telecommunications, Electronics and Informatics (ICTEI) 2010, 2010, pp. 31–34.
[573]
P. Decker, S. Thierfelder, D. Paulus, and M. Grzegorzek, “Dense Statistic versus Sparse Feature-Based Approach for 3D Object Recognition,” 2010.
[574]
M. Grzegorzek, D. Paulus, M. Trierscheid, and D. Papoutsis, “Teeth Segmentation in 3D Dentition Models for the Virtual Articulator,” in IEEE International Conference on Image Processing, Sep. 2010, pp. 3609–3612.
[575]
S. Vetter, M. Grzegorzek, and D. Paulus, “Wavelet-Based Inpainting for Object Removal from Image Series,” in DAGM 2010, LNCS 6376 Pattern Recognition, Sep. 2010, pp. 342–352.
[576]
F. Graf, M. Grzegorzek, and D. Paulus, “Counting Lymphocytes in Histopathology Images Using Connected Components,” in International Conference on Pattern Recognition, Aug. 2010, pp. 263–269.
[577]
M. Grzegorzek, M. Trierscheid, D. Papoutsis, and D. Paulus, “A Multi-Stage Approach for 3D Teeth Segmentation from Dentition Surfaces,” in International Conference on Image and Signal Processing, 2010, pp. 521–530.
[578]
M. Grzegorzek, A. Wolyniec, F. Schmitt, and D. Paulus, “Recognition of Objects Represented in Different Color Spaces,” in 5th European Conference on Colour in Graphics, Imaging, and Vision, 2010, pp. 338–345.
[579]
S. Greve, M. Grzegorzek, and D. Paulus, “Classification of Image Regions Using the Wavelet Standard Deviation Descriptor,” in 3rd International Symposium on Multimedia – Applications and Processing, 2010, pp. 703–708.
[580]
N. Jung, O. Schwaneberg, and P. Adam, “Study Results of a skin detecting Safety Sensor on Circular Saws,” 2010.
[581]
O. Schwaneberg, H. Steiner, N. Jung, and D. Reinert, “Push-buttons with Material Classification based on Spectral Signatures,” 2010.
[582]
Öjefors et al., “Terahertz imaging detectors in a 65-nm CMOS SOI technology,” in Proc. European Solid-State Circuits Conference (ESSCIRC), 2010, pp. 486–489.
[583]
B. Langmann, S. E. Ghobadi, K. Hartmann, and O. Loffeld, “Multi-Modal Background Substraction using Gaussian Mixture Models,” in Proc. Symp. Photogrammetry Computer Vision and Image Analysis (PCV), 2010, vol. 28, pp. 61–66.
[584]
R. Schick, S. Tcaciuc, and C. Ruland, “Information Security of Multimodal Input Data Traceability of Image Data,” in Proc. Conf. Telecommunications, Electronics and Informatics (ICTEI), 2010, pp. 31–34.
[585]
A. J. Soto, M. Strickert, G. E. Vazquez, and E. Milios, “Adaptive Visualization of Text Documents Incorporating Domain Knowledge,” 2010.
[586]
J. Hedrich, H. Maekeler, E. Bengtsson, and D. Paulus, “Image-Based Comparison of Pre-Modern Coins and Medals,” in Proc. Farbbildverarbeitung Workshop, 2010, pp. 156–169.
[587]
M. Lindner, “Calibration and Realtime Processing of Time-of-Flight Range Data,” PhD Thesis, Computer Graphics Group, University of Siegen, 2010.
[588]
I. Chiosa, “Efficient and High Quality Clustering,” phdthesis, Computer Graphics Group, University of Siegen, 2010.
[589]
C. Koehler, “Chip Hardware-in-the-Loop Simulation Framework,” phdthesis, Technische Universität München, 2010.
[590]
J. Ruckelshausen, “Volume Raycasting multispektraler Bilddaten,” Diplomarbeit, Computer Graphics Group, University of Siegen, 2010.
[591]
R. El-Battrawy, “Longitudinal Chromatic Aberration Solution for Depth of Field Extension,” Master, Universitaet Siegen / Computergraphik / Mechatronics, 2010.
[592]
S. Kämpflein, “Entwicklung einer für hochparallel Rechnerarchitekturen optimierten Bildverarbeitungsbibliothek,” Diplomarbeit, University of Siegen, 2010.
[593]
P. Marchel, “Image-based collision detection of particles on GPUs,” Bachelor Thesis, University of Siegen, 2010.
[594]
M. Piotraschke, “Prefiltered Anisotropic Environment Maps,” mathesis, University of Siegen, 2010.
[595]
A. K. Huhn, C. am Weg, W. von Spiegel, H. G. Roskos, and P. H. Bolívar, “Broadband Terahertz Characterization of Energetic Materials.” Poster, 2010.
[596]
M. Keller and A. Kolb, “Real-time Simulation of Time-Of-Flight Sensors,” J. Simulation Practice and Theory, vol. 17, pp. 967–978, 2009.
[597]
J. Orthmann, C. Rezk-Salama, and A. Kolb, “GPU-based Responsive Grass,” Journal of WSCG, vol. 17, pp. 65–72, Apr. 2009.
[598]
N. Cuntz, A. Pritzkau, and A. Kolb, “Time-Adaptive Lines for the Interactive Visualization of Unsteady Flow Data Sets,” Computer Graphics Forum, vol. 28, no. 8, pp. 2165–2175, 2009.
[599]
S. Bayraktar, U. Gudukbay, and B. Ozguc, “GPU-Based Neighbor- Search Algorithm for Particle Simulations,” Journal of Graphics, GPU, and Game Tools, vol. 14, no. 1, pp. 31–42, 2009.
[600]
D. Reinert et al., “Finger and hand protection on circular table and panel saws,” Safety Science, vol. 47, no. 8, pp. 1175–1184, 2009.
[601]
A. Kolb and R. K. (editors), Proc. DAGM Workshop Dynamic 3D Imaging, LNCS., vol. 5742. Springer, 2009.
[602]
S. Todt, C. Rezk-Salama, and A. Kolb, “Virtuelle Welten als Basistechnologie für Kunst und Kultur,” transscript Verlag, 2009, pp. 119–138.
[603]
D. Zukić, C. Rezk-Salama, and A. Kolb, “Intelligent Computer Graphics 2009,” vol. 240, D. Plemenos and G. Miaoulis, Eds. Springer, 2009, pp. 63–85.
[604]
A. Kolb, E. Barth, R. Koch, and R. Larsen, “Time-of-Flight Sensors in Computer Graphics,” in Eurographics (State-of-the-Art Report), 2009, pp. 119–134.
[605]
M. Lambers and A. Kolb, “GPU-Based Framework for Distributed Interactive 3D Visualization of Multimodal Remote Sensing Data,” in Proc. Int. IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2009, vol. 4, p. IV-57-IV–60.
[606]
I. Chiosa, A. Kolb, N. Cuntz, and M. Lindner, “Parallel Mesh Clustering,” in Proc. Eurographics Symp. on Parallel Graphics and Visualization (EGPGV), 2009, pp. 33–40.
[607]
S. Wenzel, J. Koch, U. Kelter, and A. Kolb, “Evolution Analysis with Animated and 3D-Visualizations,” in IEEE Int. Conf. on Software Maintenance (ICSM), 2009, pp. 475–478. doi: http://dx.doi.org/10.1109/ICSM.2009.5306279.
[608]
D. Zukić, C. Rezk-Salama, and A. Kolb, “A Neural Network Classifier of Volume Datasets,” in Proc. Int. Conf. on Computer Graphics and Artificial Intelligence, 2009, pp. 53–62.
[609]
J. Orthmann, M. Keller, and A. Kolb, “Integrating GPGPU Functionality into Scene Graphs,” Nov. 2009.
[610]
M. Keller, N. Cuntz, and A. Kolb, “Interactive Dynamic Volume Trees on the GPU,” Nov. 2009.
[611]
M. Lindner and A. Kolb, “Compensation of Motion Artifacts for Time-of-Flight Cameras,” in Proc. Dynamic 3D Imaging, Sep. 2009, pp. 16–27.
[612]
J. Orthmann, C. Rezk-Salama, and A. Kolb, “Responsive Real-Time Simulation of Ground Vegetation for Games,” Nov. 2009.
[613]
C. Koehler, A. Mayer, and A. Herkersdorf, “Chip Hardware-in-the-Loop Simulation (CHILS) Coupling Optimization through new Algorithm Analysis Technique,” 2009.
[614]
R. Abbasi, M. Grzegorzek, and S. Staab, “Large Scale Tag Recommendation Using Different Image Representations,” in 4th International Conference on Semantic and Digital Media Technologies, 2009, pp. 65–76.
[615]
M. Grzegorzek, M. Buckan, and S. Horn, “Probabilistic Classification of Intracranial Gliomas in Digital Microscope Images Based on EGFR Quantity,” in Medical Imaging 2009: Image Processing (Volume 7259), 2009, p. 72591T.
[616]
M. Grzegorzek, A. Wolyniec, F. Schmitt, and D. Paulus, “Probabilistic Texture-Based Classification and Localization of 3D Objects Based on Wavelet-Features Extracted from Different Color Spaces,” in 15. Workshop Farbbildverarbeitung, 2009, pp. 29–35.
[617]
G. Th. Papadopoulos et al., “Comparative Evaluation of Spatial Context Techniques for Semantic Image Analysis,” in Proceedings of the 10th International Workshop on Image Analysis for Multimedia Interactive Services, 2009, pp. 161–164.
[618]
M. Moeller, T. Wittman, and A. L. Bertozzi, “A variational approach to hyperspectral image fusion,” in Proc. SPIE, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery, 2009, vol. 7334, pp. 73341E-73341E–10.
[619]
S. S. Todt, “Real-Time Rendering and Acquisition of Spherical Light Fields,” phdthesis, University of Siegen, Computer Graphics Group, 2009.
[620]
N. Cuntz, “Real-Time Particle Systems,” PhD Thesis, Computer Graphics Group, University of Siegen, 2009.
[621]
M. Barth, “Interaktive Rekonstruktion von Time-of-Flight Oberflächen,” mathesis, Computer Graphics Group, University of Siegen, 2009.
[622]
B. Labitzke, “Erzeugung von Tetraedergittern für die Volumendeformation,” Diplomarbeit, Computer Graphics Group, University of Siegen, 2009.
[623]
M. Schantin, “Skelettbasierte Volumendeformation,” mathesis, Computer Graphics Group, University of Siegen, 2009.
[624]
F. Heide, “Adaptive terrain rendering with smooth subdivision surfaces on the GPU,” Bachelor Thesis, Computer Graphics Group, University of Siegen, 2009.
[625]
A. Kolb, M. Lambers, S. Todt, N. Cuntz, and C. Rezk-Salama, “Immersive Rear Projection on Curved Screens.” IEEE VR (Poster-Session), 2009.
[626]
C. Rezk-Salama, T. Ropinski, M. Hadwiger, and P. Ljung, “Advanced Illumination Techniques for GPU-Based Raycasting.” ACM SIGGRAPH Course Notes, Aug. 2009.
[627]
J. Krüger, C. Rezk-Salama, J. Schneider, and C. Dick, “Interactive Methods in Scientific Visualization,.” Tutorial Notes, IEEE Pacific Visualization Symposium, Beijing, China, Apr. 2009.
[628]
C. Rezk-Salama, T. Ropinski, M. Hadwiger, and P. Ljung, “GPU-Based Volume Ray-Casting with Advanced Illumination.” Eurographics 2009, Tutorial Notes, 2009.
[629]
N. Cuntz, A. Kolb, R. Strzodka, and D. Weiskopf, “Particle Level Set Advection for the Interactive Visualization of Unsteady 3D Flow,” Computer Graphics Forum (Proc. EuroVis), vol. 27, no. 3, pp. 719–716, 2008.
[630]
M. Lindner, M. Lambers, and A. Kolb, “Data Fusion and Edge-Enhanced Distance Refinement for 2D RGB and 3D Range Images,” Int. J. on Intell. Systems and Techn. and App. (IJISTA), Issue on Dynamic 3D Imaging, vol. 5, no. 1, pp. 344–354, 2008.
[631]
S. Todt, M. Langer, C. Rezk-Salama, A. Kolb, and K. D. Kuhnert, “Spherical Light Field Rendering in Application for Analysis by Synthesis,” Int. J. on Intell. Systems and Techn. and App. (IJISTA), Issue on Dynamic 3D Imaging, vol. 5, no. 1, pp. 304–314, 2008.
[632]
C. Rezk-Salama, S. Todt, and A. Kolb, “Raycasting of Light Field Galleries from Volumetric Data,” Computer Graphics Forum (Proc. EuroVis), vol. 27, no. 3, pp. 839–846, 2008.
[633]
M. Lambers, H. Nies, and A. Kolb, “Interactive Dynamic Range Reduction for SAR Images,” Geoscience and Remote Sensing Letters, vol. 5, no. 3, pp. 507–511, 2008.
[634]
M. Hadwiger, L. Fritz, C. Rezk-Salama, T. Höllt, G. Geier, and T. Pabel, “Interactive Volume Exploration for Feature Detection and Quantification in Industrial CT Data,” IEEE Transactions on Visualization and Computer Graphics, vol. 14, no. 5, p. 8, Sep. 2008.
[635]
S. Todt, C. Rezk-Salama, A. Kolb, and K.-D. Kuhnert, “GPU-Based Spherical Light Field Rendering with Per-Fragment Depth Correction,” Computer Graphics Forum, vol. 27, no. 8, pp. 2081–2095, 2008.
[636]
P. Praks, M. Grzegorzek, R. Moravec, L. Valek, and E. Izquierdo, “Wavelet and Eigen-Space Feature Extraction for Classification of Metallography Images,” Frontiers in Artificial Intelligence and Applications: Information Modelling and Knowledge Bases, vol. 166, no. 1, pp. 190–199, 2008.
[637]
A. Kolb, R. Leschke, and T. Reinhard, “Navigationen – Special Issue,” K. Schubert, S. Schubert, and V. Wulf, Eds. Transcript Verlag, 2008, pp. 81–102.
[638]
C. Rezk-Salama, “Trends in Interactive Visualization,” Springer, 2008.
[639]
S. Staab et al., “Reasoning Web,” C. Baroglio, P. A. Bonatti, J. Maluszynski, M. Marchiori, A. Polleres, and S. Schaffert, Eds. San Servolo, Island: Springer LNCS 5224, 2008, pp. 125–170.
[640]
A. Kolb, E. Barth, and R. Koch, “ToF-Sensors: New Dimensions for Realism and Interactivity,” in Conf. on Computer Vision and Pattern Recognition (CVPR), Workshop on ToF Camera based Computer Vision (TOF-CV), 2008, pp. 1–6.
[641]
M. Lambers and A. Kolb, “Adaptive Dynamic Range Reduction for SAR Images,” in Proc. 7th European Conference on Synthetic Aperture Radar (EUSAR), 2008, vol. 3, pp. 371–374.
[642]
I. Chiosa and A. Kolb, “Variational Multilevel Mesh Clustering,” in Proc. IEEE Int. Conf. on Shape Modeling and Applications (SMI), 2008, pp. 197–204.
[643]
M. Lindner, A. Kolb, and T. Ringbeck, “New Insights into the Calibration of TOF Sensors,” in IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Workshop on ToF Camera based Computer Vision (TOF-CV), 2008, pp. 1–5.
[644]
S. Todt, C. Rezk-Salama, and A. Kolb, “Light Field Rendering for Games,” in Proc. Theory and Practice of Computer Graphics, 2008, pp. 27–33, Best Student Paper Presentation Award.
[645]
D. Zukić, A. Elsner, Z. Avdagić, and G. Domik, “Neural networks in 3D medical scan visualization,” in Int. Conf. on Computer Graphics and Artificial Intelligence (3IA 2008), 2008, pp. 183–190.
[646]
S. Todt, C. Rezk-Salama, L. Brückbauer, and A. Kolb, “Progressive Light Field Rendering for Web Based Data Presentation,” in Workshop on Hyper-Media 3D Internet, 2008, pp. 23–32.
[647]
Breuer et al., “Face Reconstruction from Single Images or Video.,” Sep. 2008.
[648]
Bargmann, R., Blanz, V., Seidel, and H.-P., “A Nonlinear Viseme Model for Triphone-Based Speech Synthesis.,” Sep. 2008.
[649]
M. Lambers and A. Kolb, “Automatic Point Target Detection For Interactive Visual Analysis of SAR Images,” in Proc. Int. IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2008, vol. 2, p. II-903-II–906.
[650]
C. Koehler, A. Mayer, and A. Herkersdorf, “Chip Hardware-in-the-loop Simulation (CHILS) – Embedding Microcontroller Hardware in Simulation,” in Proceedings of the 19th IASTED International Conference on Modeling and Simulation, 2008, pp. 297–302.
[651]
C. Koehler, A. Mayer, and A. Herkersdorf, “Determining the Fidelity of Hardware-In-the-Loop Simulation Coupling Systems,” 2008.
[652]
R. Abbasi, M. Grzegorzek, and S. Staab, “Using Colors as Tags in Folksonomies to Improve Image Classification,” 2008.
[653]
C. Saathoff, M. Grzegorzek, and S. Staab, “Labelling Image Regions Using Wavelet Features and Spatial Prototypes,” in 3rd International Conference on Semantic and Digital Media Technologies, 2008, pp. 89–104.
[654]
R. Abbasi, M. Grzegorzek, and S. Staab, “Merging Tagging and Low-Level Image Features in Folksonomies to Improve Image Classification,” Sep. 2008.
[655]
Q. Z. et al., “The COST292 Experimental Framework for TRECVID 2007,” 2008.
[656]
T. Knoche, “GPU-based Volume Deformation using Mass-Sping-Models,” mathesis, Computer Graphics Group, University of Siegen, 2008.
[657]
T. Schmiade, “Adaptive GPU-based terrain rendering,” mathesis, Computer Graphics Group, University of Siegen, 2008.
[658]
T. Horz, “Handheld Acquisition of Spherical Lightfields,” mathesis, Computer Graphics Group, University of Siegen, 2008.
[659]
A. Pritzkau, “Interaktive Flow-Visualisierung anhand geometrischer Primitive mit adaptiven Zeitschrittverfahren,” mathesis, Computer Graphics Group, University of Siegen, 2008.
[660]
J. Orthmann, “GPU-based Responsive Grass,” mathesis, Computer Graphics Group, University of Siegen, 2008.
[661]
C. Rezk-Salama, T. Ropinski, M. Hadwiger, and P. Ljung, “Advanced Illumination Techniques for GPU-Based Volume Ray-Casting.” SIGGRAPH Asia Course Notes, 2008.
[662]
M. Hadwiger, P. Ljung, C. Rezk-Salama, and T. Ripinski, “Advanced Illumination Techniques for GPU-Based Volume Ray-Casting.” IEEE Visualization, Tutorial Notes, 2008.
[663]
F. Jiang, V. Blanz, and A. J. O’Toole, “The role of familiarity in three-dimensional view transferability of face identity adaptation,” Vision Research 47(4) 525-531, 2007.
[664]
M. Fuchs, V. Blanz, H. Lensch, and H.-P. Seidel, “Adaptive sampling of reflectance fields,” ACM Trans. Graph. 26(2), 2007.
[665]
A. Yoshida, V. Blanz, K. Myszkowski, and H.-P. Seidel, “Testing Tone Mapping Operators with Human-Perceived Reality,” Journal of Electronic Imaging, 16(1), pp. 013004-1 – 013004-14, Springfield, VA, USA, 2007.
[666]
Eckes et al., “Towards Sociable Virtual Humans: Multimodal Recognition of Human Input and Behavior,” The International Journal of Virtual Reality, Volume 6, Number 4, S. 21-30, Dezember 2007, 2007.
[667]
M. Grzegorzek, I. Scholz, M. Reinhold, and H. Niemann, “Fast Training for Object Recognition with Structure-from-Motion,” Pattern Recognition and Image Analysis: Nauka/Interperiodica, vol. 17, no. 1, pp. 87–92, 2007.
[668]
M. Grzegorzek, Appearance-Based Statistical Object Recognition Including Color and Context Modeling. Berlin, Germany: Logos Verlag, 2007.
[669]
A. Kolb, C. Rezk-Salama, and J. Venus, “Navigationen – Special Issue: Display II Digital,” J. Schröter and T. Thielmann, Eds. Transcript Verlag, 2007, pp. 71–85.
[670]
K. Kuhnert, M. Langer, M. Stommel, and A. Kolb, “Vision Systems,” Advanced Robotic Systems, Vienna, 2007, pp. 311–334.
[671]
V. Blanz, “Artifical Intelligence for Human Computing,” Springer LNAI 4517, 2007, pp. 296–315.
[672]
N. Cuntz, M. Leidl, A. Kolb, C. Rezk-Salama, and M. Böttinger, “GPU-based Dynamic Flow Visualization for Climate Research Applications,” in Proc. Simulation and Visualization, 2007, pp. 371–384.
[673]
J. Beyer, M. Hadwiger, S. Wolfsberger, C. Rezk-Salama, and K. Bühler, “Segmentierungsfreie Visualisierung des Gehirns für direktes Volume Rendering,” 2007.
[674]
P. Breuer, C. Eckes, and S. Müller, “Hand Gesture Recognition with a noval IR Time-of-Flight Range Camera – A pilot study,” in Proc. of Mirage 2007, Computer Vision / Computer Graphics Collaboration Techniques and Applications, 2007, pp. 247–260.
[675]
M. Lindner and A. Kolb, “Calibration of the intensity-related distance error of the PMD TOF-Camera,” in SPIE: Intelligent Robots and Computer Vision XXV, 2007, vol. 6764, pp. 6764–35.
[676]
B. Streckel, B. Bartczak, R. Koch, and A. Kolb, “Supporting Structure From Motion with a 3D-Range-Camera,” in Scandinavian Conf. Image Analysis (SCIA), 2007, pp. 233–242.
[677]
N. Cuntz and A. Kolb, “Fast Hierarchical 3D Distance Transforms on the GPU,” in Eurographics 2007 (short paper), Sep. 2007, pp. 93–96.
[678]
C. R. Salama, “GPU-Based Monte-Carlo Volume Raycasting,” 2007.
[679]
M. Lindner, A. Kolb, and K. Hartmann, “Data-Fusion of PMD-Based Distance-Information and High-Resolution RGB-Images,” in Proc. of the Int. IEEE Symp. on Signals, Circuits & Systems (ISSCS), 2007, vol. 1, pp. 121–124.
[680]
M. Keller, J. Orthmann, A. Kolb, and V. Peters, “A Simulation Framework for Time-Of-Flight Sensors,” in Proc. of the Int. IEEE Symp. on Signals, Circuits & Systems (ISSCS), 2007, vol. 1, pp. 125–128.
[681]
S. Todt, C. Rezk-Salama, T. Horz, A. Pritzkau, and A. Kolb, “An Interactive Exploration of the Virtual Stronghold Dillenburg,” in Eurographics 2007 (Cultural Heritage), 2007, pp. 17–24.
[682]
K.-D. Kuhnert and W. Seemann, “Planning of Minimal-Time Trajectories for High Speed Autonomous Vehicles,” 2007.
[683]
W. Seemann and K.-D. Kuhnert, “Design and Realisation of the Highly Modular and Robust Autonomous Mobile Outdoor Robot AMOR,” 2007.
[684]
W. Seemann and K.-D. Kuhnert, “Localisation for an Outdoor Robot by Optically Measuring the Ground Movement,” 2007.
[685]
T. Horz, A. Pritzkau, C. Rezk-Salama, S. Todt, and A. Kolb, “Gaming Technology in Cultural Heritage Systems,” Nov. 2007.
[686]
V. Blanz, K. Scherbaum, and H.-P. Seidel, “Fitting a Morphable Model to 3D Scans of Faces,” 2007.
[687]
M. Fuchs, H.Lensch, V. Blanz, and H.-P. Seidel, “Superresolution Reflectance Fields: Synthesizing Images for Intermediate Light Directions,” 2007.
[688]
K. Scherbaum, M. Sunkel, H.-P. Seidel, and V. Blanz, “Prediction of Individual Non-Linear Aging Trajectories of Faces,” 2007.
[689]
V. Blanz, “Computing Human Faces for Human Viewers: Automated Animation in Photographs and Paintings,” 2007.
[690]
M. Lambers, A. Kolb, H. Nies, and M. Kalkuhl, “GPU-based Framework for Interactive Visualization of SAR Data,” in Proc. Int. IEEE Geoscience and Remote Sensing Symposium (IGARSS), 2007, pp. 4076–4079.
[691]
M. Kalkuhl, P. Droste, W. Wiechert, H. Nies, O. Loffeld, and M. Lambers, “Parallel Computation of Synthetic SAR Raw Data,” in Proc. Int. Geoscience and Remote Sensing Symposium (IGARSS), 2007, pp. 536–539.
[692]
S. Bayraktar, U. Gudukbay, and B. Ozguc, “Practical and Realistic Animation of Cloth,” 2007.
[693]
E. Izquierdo, K. Chandramouli, M. Grzegorzek, and T. Piatrik, “K-Space Content Management and Retrieval System,” in International Conference on Image Analysis and Processing, Sep. 2007, pp. 131–136.
[694]
M. Grzegorzek and E. Izquierdo, “Statistical 3D Object Classification and Localization with Context Modeling,” in 15th European Signal Processing Conference, Sep. 2007, pp. 1585–1589.
[695]
D. Djordjevic, E. Izquierdo, and M. Grzegorzek, “User Driven Systems to Bridge the Semantic Gap,” in 15th European Signal Processing Conference, Sep. 2007, pp. 718–722.
[696]
U. Damnjanovic, E. Izquierdo, and M. Grzegorzek, “Shot Boundary Detection Using Spectral Clustering,” in 15th European Signal Processing Conference, Sep. 2007, pp. 1779–1783.
[697]
P. Praks, M. Grzegorzek, R. Moravec, L. Valek, and E. Izquierdo, “Wavelet and Eigen-Space Feature Extraction for Classification of Metallography Images,” in European-Japanese Conference on Information Modeling and Knowledge Bases, 2007, pp. 193–202.
[698]
Q. Zhang, K. Chandramouli, D. Djordjevic, L. Dong, M. Grzegorzek, and E. Izquierdo, “Multimedia Management, Annotation, and Retrieval,” 2007.
[699]
N. Cuntz, R. Strzodka, and A. Kolb, “Real-Time Particle Level Sets with Application to Flow Visualization,” Computer Graphics Group, Institute for Vision, techreport, 2007.
[700]
C. R. Salama, “Production-Ready GPU-based Monte-Carlo Volume Raycasting,” Computer Graphics Group, Universität Siegen, techreport, 2007.
[701]
S. Todt, C. Rezk-Salama, and A. Kolb, “Fast (Spherical) Light Field Rendering with Per-Pixel Depth,” Computer Graphics Group, University of Siegen, techreport, Nov. 2007.
[702]
P. Breuer, K. I. Kim, W. Kienzle, V. Blanz, and B. Schölkopf, “Automatic 3D Face Reconstruction from Single Images or Video,” Max-Planck-Institut für Biologische Kybernetik, techreport, 2007.
[703]
A. Elsner et al., “Semiautomatic Cardiac CT Scan Classification with a Semantic User Interface,” University of Paderborn, Online Report, 2007.
[704]
D. Zukic, “Neuronske mreže u vizuelizaciji CT snimaka,” mathesis, University of Sarajevo, Faculty of Electrical Engineering, Department of Computer Science, 2007.
[705]
L. Brückbauer, “Hardwarebasiertes Volume Raycasting mit deformierbaren Tetraedernetzen,” Diplomarbeit, Institute for Vision, 2007.
[706]
C. Rezk-Salama and A. Kolb, “Opacity Peeling for Direct Volume Rendering,” Computer Graphics Forum (Proc. Eurographics), vol. 25, no. 3, pp. 597–606, 2006.
[707]
V. Blanz, I. Albrecht, J. Haber, and H.-P. Seidel, “Creating Face Models from Vague Mental Images,” Proc. Eurographics, vol. 25, no. 3, pp. 645–654, 2006.
[708]
F. Jiang, V. Blanz, and A. J. O’Toole, “Probing the Visual Representation of Faces With Adaption. A View From the Other Side of the Mean,” Psychological Science 17(6), pp. 493–500, 2006.
[709]
X. Jiang, E. Rosen, T. Zeffiro, J. VanMeter, V. Blanz, and M. Riesenhuber, “Evaluation of a Shape-Based Model of Human Face Dicrimination Using fMRI and Behavorial Techniques,” Neuron 50, pp. 159–172, 2006.
[710]
C. Rezk-Salama, M. Keller, and P. Kohlmann, “High-Level User Interfaces for Transfer Function Design with Semantics,” IEEE Trans. on Visualization and Computer Graphics (Proc. IEEE Visualization), vol. 11, no. 5, pp. 1021–1028, 2006.
[711]
K. Engel, M. Hadwiger, J. Kniss, C. Rezk-Salama, and D. Weiskopf, Real-Time Volume Graphics. AK Peters, 2006.
[712]
C. Rezk-Salama, “Ein semantisches Modell für die Entwicklung von Softwareassistenten zur medizinischen Visualisierung,” 2006.
[713]
V. Blanz, “Face Recognition based on a 3D Morphable Model,” in Proc. of the 7th Int. Conference of Automatic Face and Gesture Recognition, 2006, pp. 617–622.
[714]
J. Mehnert-Spahn, S. Speck, and A. Kolb, “A Cross-Platform Approach for User-Interaction in Virtual Environments,” in 9. Fachtagung zu Virtual Reality und Augmented Reality, 2006, pp. 321–328.
[715]
X. Jiang and M. Lambers, “Synthesis of Stereoscopic 3D Videos by Limited Resources of Range Images,” in Proc. Int. Conf. on Pattern Recognition (ICPR), Aug. 2006, pp. 1220–1224.
[716]
K. Rothaus, X. Jiang, and M. Lambers, “Comparison of Methods for Hyperspherical Data Averaging and Parameter Estimation,” in Proc. Int. Conf. on Pattern Recognition (ICPR), Aug. 2006, pp. 395–399.
[717]
X. Jiang and M. Lambers, “DIBR-Based 3D Videos Using Non-Video-Rate Range Image Stream,” in Proc. IEEE Int. Conf. on Multimedia & Expo (ICME), 2006, pp. 1873–1876.
[718]
R. Bargmann, V. Blanz, and H.-P. Seidel, “Learnig-Based Facial Rearticulation Using Streams of 3D Scans,” 2006.
[719]
E. Learned-Miller et al., “Detecting acromegaly: Screening for disease with a morphable model,” 2006.
[720]
C. Rezk-Salama et al., “Game Development as Part of the Computer Science Education,” in Proc. International Digital Games Conference (iDiG), 2006, pp. 15–24.
[721]
M. Lindner and A. Kolb, “Lateral and Depth Calibration of PMD-Distance Sensors,” in Advances in Visual Computing, Nov. 2006, vol. 2, pp. 524–533.
[722]
J. H. G. Ender et al., “Bistatic Exporation Using Spaceborne and Airborne SAR Sensors: A Close Collaboration Between FGAN, ZESS and FOMAAS,” in IEEE IGARSS, 2006, pp. 1828–1831.
[723]
M. Stommel and K.-D. Kuhnert, “A Learning Algorithm for the Appearance-Based Recognition of Complex Objects,” 2006.
[724]
A. Staudt, M. Langer, and K.-D. Kuhnert, “Comparision of Two Real-Time Image-Processing System Approaches,” 2006.
[725]
T. W. Yang, K.-D. Kuhnert, W. Seemann, O. Lopez, and A. Staudt, “Suboptimal Motion Planning of an Autonomous Land Vehicle,” 2006.
[726]
M. Stommel and K.-D. Kuhnert, “Fusion of Stereo-Camera and PMD-Camera Data for Real-Time Suited Precise 3D Environment Reconstruction,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2006, pp. 4780–4785.
[727]
S. Bayraktar, U. Gudukbay, and B. Ozguc, “Modeling Interaction of Fluid, Fabric, and Rigid Objects for Computer Graphics (in Turkish),” Apr. 2006.
[728]
N. Cuntz and A. Kolb, “Fast Hierarchical 3D Distance Transforms on the GPU,” Computer Graphics Group, Institute for Vision, techreport, Aug. 2006.
[729]
I. Chiosa and A. Kolb, “Mesh Coarsening based upon Multiplicatively Weighted Centroidal Voronoi Diagrams,” Computer Graphics Group, Institute for Vision, techreport, Apr. 2006.
[730]
P. Kohlmann, “Transfer Function Design Based on Statistical Shape Models,” mathesis, Computer Graphics Group, University of Siegen, 2006.
[731]
J. Mehnert-Spahn, “Concept and Realization of a VR Interaction Server to Control Various Plattforms,” mathesis, Computer Graphics Group, University of Siegen, 2006.
[732]
U. Klein, “Real-Time Collision Detection for Flexible Components,” mathesis, Computer Graphics Group, University of Siegen, 2006.
[733]
T. Hambürger, “Real-Time Deformation for Arbitrary with Inhomogeneous Material Properties,” mathesis, Computer Graphics Group, University of Siegen, 2006.
[734]
M. Leidl, “Particle-based visualization of time-dependent flow-date upon the GPU for climate research applications,” mathesis, Computer Graphics Group, University of Siegen, 2006.
[735]
M. Keller, “High-Level User Interfaces for Transfer Function Design Based on Semantic Models,” mathesis, Computer Graphics Group, University of Siegen, 2006.
[736]
C. Koehler, “GIP-Muster – GUI-Interaction-Program-Logic (GIP) – Muster,” mathesis, Technische Universität Cottbus, 2006.
[737]
K. Engel, M. Hadwiger, J. M. Kniss, and C. Rezk-Salama, “Real-Time Volume Graphics, Tutorial Notes.” Eurographics Tutorials, 2006.
[738]
R. Strzodka, M. Doggett, and A. Kolb, “Scientific Computation for Simulations on Programmable Graphics Hardware,” Simulation Practice & Theory, vol. 13, no. 8, pp. 667–680, 2005.
[739]
C. Rezk-Salama, “Volumenvisualisierung auf handelsüblicher Grafik-Hardware,” it – information Technology, vol. 47, no. 1, pp. 54–56, 2005.
[740]
M. Fuchs, V. Blanz, H. Lensch, and H.-P. Seidel, “Reflectance from Images: A Model-Based Approach for Human Faces,” IEEE Trans on Visualization and Comp. Graphics 11(3), pp. 296–305, 2005.
[741]
A. Mehl, V. Blanz, and R. Hickel, “Biogeneric Tooth – A New Mathematical Representation for Tooth Morphology in Case of Lower First Molars,” Eur. J.Oral Sci, 2005.
[742]
V. Blanz, T. Vetter, and A. Mehl, “A New Approach for Automatic Reconstruction of Occlusal Surfaces with the Biogeneric Tooth Model,” Int. J. Comp. Dent 8, pp. 13–25, 2005.
[743]
A. Mehl, V. Blanz, and R. Hickel, “Was ist der ‘Durchschnittszahn’2 – Ein mathematischer Ansatz fuer die automatische Berechnung einer repraesentativen Kauflaeche.,” Dtsch. Zahnaerztl. Z, 2005.
[744]
T. C. Nurdan et al., “First Results on Compton Coincidences with the Silicon Drift Detector,” IEEE Transactions on Nuclear Science, vol. 52, no. 5, pp. 1381–1385, 2005.
[745]
M. Reinhold, M. Grzegorzek, J. Denzler, and H. Niemann, “Appearance-Based Recognition of 3-D Objects by Cluttered Background and Occlusions,” Pattern Recognition, vol. 38, no. 5, pp. 739–753, 2005.
[746]
M. Grzegorzek, I. Scholz, M. Reinhold, and H. Niemann, “Fast Training for Object Recognition with Structure-from-Motion,” Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications, vol. 15, no. 1, pp. 183–186, 2005.
[747]
S. Romdhani, V. Blanz, C. Basso, and T. Vetter, “Handbook of Face Recognition,” Li, S., Jain, and A., Eds. Springer New York, 2005, pp. 217–245.
[748]
A. Kolb and C. Rezk-Salama, “Efficient Empty Space Skipping for Per-Pixel Displacement Mapping,” in Proc. Vision, Modeling and Visualization (VMV), 2005, pp. 407–414.
[749]
A. Kolb and N. Cuntz, “Dynamic Particle Coupling for GPU-Based Fluid Simulation,” in Proc. 18th Symposium on Simulation Technique, Sep. 2005, pp. 722–727.
[750]
C. Rezk-Salama and A. Kolb, “A Vertex Program for Efficient Box-Plane Intersection,” in Proc. Vision, Modeling and Visualization (VMV), 2005, pp. 115–122.
[751]
V. Blanz, P. Grother, J. Phillips, and T. Vetter, “Face Recognition based on Frontal Views generated from Non-Frontal Images,” 2005.
[752]
M. Fuchs, V. Blanz, and H.-P. Seidel, “Bayesian Relighting,” 2005.
[753]
F. Steinke, B. Schoelkopf, and V. Blanz, “Support Vector Machines for 3D Shape Processing,” 2005.
[754]
B. Schoelkopf, F. Steinke, and V. Blanz, “Object Correspondence as a Machine Learning Problem,” 2005.
[755]
A. Yoshida, V. Blanz, K. Myszkowski, and H.-P. Seidel, “Perceptual Evaluation of Tone Mapping Operators with Real-World Scenes,” 2005.
[756]
C. Bastuck et al., “An Open and Extensible Framework for Visualization,” in Tagungsband der Informatiktage 2005 der Gesellschaft für Informatik, 2005, pp. 151–154.
[757]
W. Dong and Y. Guo, “New trajectory generation methods for nonholonomic mobile robots,” in Proceedings of the 2005 International Symposium on Collaborative Technologies and Systems, 2005, pp. 353–358.
[758]
W. Dong and K.-D. Kuhnert, “Robust Adaptive Control of Nonholonomic Mobile Robots With Parameter and Nonparameter Uncertainties,” in IEEE Transactions on Robotics, 2005, vol. 21, no. 2, pp. 261–266.
[759]
M. Stommel and K.-D. Kuhnert, “Appearance based recognition of complex objects by genetic prototype-learning,” 2005.
[760]
M. Grzegorzek and H. Niemann, “Statistical Object Recognition Including Color Modeling,” in 2nd International Conference on Image Analysis and Recognition, Sep. 2005, pp. 481–489.
[761]
M. Grzegorzek, M. Reinhold, and H. Niemann, “Feature Extraction with Wavelet Transformation for Statistical Object Recognition,” in 4th International Conference on Computer Recognition Systems, 2005, pp. 161–168.
[762]
K. Pasumarthy, M. Grzegorzek, J. Denzler, and H. Niemann, “Scene Exploration Using Bayesian Nets,” in Proceedings of the 2005 International Conference on Intelligent Sensing and Information Processing, 2005, pp. 205–210.
[763]
M. Fuchs, V. Blanz, H. Lensch, and H.-P. Seidel, “Reflectance from Images: A Model-Based Approach for Human Faces,” Max-Planck Institut Informatik, techreport, 2005.
[764]
M. Lambers, “Synthesis of 3D Videos,” mathesis, University of Münster, 2005.
[765]
S. S. Todt, C. Rezk-Salama, and A. Kolb, “Real-Time Fusion of Depth and Light Field Images.” ACM SIGGRAPH Posters, 2005.
[766]
I. Albrecht, V. Blanz, J. Haber, and H.-P. Seidel, “Creating Face Models from Vague Mental Images.” 2005.
[767]
P. Hastreiter et al., “Strategies for Brain Shift Evaluation,” Medical Image Analysis, vol. 8, no. 4, pp. 447–464, 2004.
[768]
A. Kolb, L. Latta, and C. Rezk-Salama, “Hardware-based Simulation and Collision Detection for Large Particle Systems,” in Proc. Graphics Hardware, 2004, pp. 123–131.
[769]
V. Blanz, K. Scherbaum, T. Vetter, and H.-P. Seidel, “Exchanging Faces in Images,” 2004.
[770]
B. Weyrauch, J. Huang, B. Heisele, and V. Blanz, “Component-Based Face recognition with 3D Morphable Models,” 2004.
[771]
V. Blanz, A. Mehl, T. Vetter, and H.-P. Seidel, “A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data,” 2004.
[772]
T. W. Yang, W. J. O’Connor, K.-D. Kuhnert, and W. L. Xu, “Motion enhancement of a large macro-micro manipulator system through error compensation approach,” 2004.
[773]
W. Dong and K.-D. Kuhnert, “Robust adaptive control of nonholonomic mobile robot with parameter and non-parameter uncertainties,” 2004.
[774]
M. Stommel and K.-D. Kuhnert, “Subpixel accurate segmentation of small images using level curves,” 2004.
[775]
T. Conka-Nurdan et al., “Compton Camera Coincidences in the Silicon Drift Detector,” in Proc. of IEEE Nuclear Science Symposium and Medical Imaging Conference, 2004, pp. 18–22.
[776]
M. Grzegorzek, K. Pasumarthy, M. Reinhold, and H. Niemann, “Statistical Object Recognition for Multi-Object Scenes with Heterogeneous Background,” in 4th Indian Conference on Computer Vision, Graphics and Image Processing, 2004, pp. 222–227.
[777]
M. Grzegorzek, I. Scholz, M. Reinhold, and H. Niemann, “Fast Training for Object Recognition with Structure-from-Motion,” in 7th International Conference on Pattern Recognition and Image Analysis 2004: New Information Technologies, 2004, pp. 231–234.
[778]
K. Engel, M. Hadwiger, J. Kniss, A. Lefohn, C. Rezk-Salama, and D. Weiskopf, “Real-Time Volume Graphics, SIGGRAPH Course Notes 28.” ACM SIGGRAPH, 2004.
[779]
K. E. W. Eberhardt et al., “Möglichkeiten der Visualisierung – Anatomiegerechte Darstellung von Zielvolumina am Beispiel von 3D CISS Datensätzen,” electromedica, vol. 71, no. 1, 2003.
[780]
V. Blanz and T. Vetter, “Face Recognition Based on Fitting a 3D Morphable Model,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 9, pp. 1063–1074, 2003.
[781]
K. E. W. Eberhard et al., “New Horizons of Visualization – Anatomically Correct Rendering of Target Volumes Based on 3D-CISS Data Records,” electromedica, vol. 71, no. 1, 2003.
[782]
C. Rezk-Salama, “Ausgezeichnete Informatikdissertationen,” Springer, 2003.
[783]
G. Soza et al., “Non-Linear Intraoperative Correction of Brain Shift with 1.5T Data,” 2003.
[784]
V. Blanz, C. Basso, T. Poggio, and T. Vetter, “Reanimating Faces in Images and Video,” 2003.
[785]
J. Huang, B. Heisele, and V. Blanz, “Component-based Face Recognition with 3D Morphable Models,” 2003.
[786]
K.-D. Kuhnert and W. Dong, “Über die lernende Regelung autonomer Fahrzeuge mit neuronalen Netzen,” 2003.
[787]
K.-D. Kuhnert and M. Krödel, “A learning autonomous driver system on the basis of image classification and evolutional learning,” 2003.
[788]
A. Schanz, A. Spieker, and K.-D. Kuhnert, “Autonomous parking in subterranean garages – a look at the position estimation,” 2003.
[789]
K.-D. Kuhnert and M. Krödel, “Behaviour learning by visual gestalt completion,” 2003.
[790]
H. Fritz, F. Stein, A. Spieker, and A. Schanz, “Längs- und Querführung,” 2003, pp. 101–107.
[791]
A. Schanz, A. Spieker, and K.-D. Kuhnert, “Towards automatic parking,” 2003.
[792]
A. Schanz, A. Spieker, and K.-D. Kuhnert, “Towards automatic parking,” 2003.
[793]
H. Fritz, F. Stein, A. Spieker, and A. Schanz, “Longitudinal and lateral control,” 2003, pp. 101–107.
[794]
M. Grzegorzek, F. Deinzer, M. Reinhold, J. Denzler, and H. Niemann, “How Fusion of Multiple Views Can Improve Object Recognition in Real-World Environments,” in Vision, Modeling, and Visualization 2003, Nov. 2003, pp. 553–560.
[795]
V. Blanz and T. Vetter, “Generating Frontal Views from Single, Non-Frontal Images,” Nat. Inst. of Standards, techreport, 2003.
[796]
S. S. Todt, “Design und Implementierung einer modularen Bibliothek zur Einbindung von 3D Sound in interaktive Echtzeit-Anwendungen,” Master Thesis, Fachhochschule Wedel, 2003.
[797]
J. Haber, V. Blanz, N. Magnenat-Thalmann, and D. Terzopoulos, “Facial Modeling and Animation – Tutorial Notes.” Sep. 2003.
[798]
K. E. W. Eberhardt, B. Tomandl, C. Rezk-Salama, R. Schindler, W. Huk, and M. Lell, “Funktionelle hochauflösende 3D Untersuchungen der Lendenwirbelsäule mit Hilfe der Magnetresonanztomographie,” electromedica, vol. 70, no. 1, 2002.
[799]
K. E. W. Eberhardt, B.Tomandl, C. Rezk-Salama, R. Schindler, W. Huk, and M. Lell, “Functional High-Definition 3D Studies of the Lumbar Spine Using Magnetic Resonance Imaging,” electromedica, vol. 70, no. 1, 2002.
[800]
G. Greiner, A. Kolb, and A. Riepl, “Scattered Data Interpolation Using Data-Dependent Optimization Techniques,” Graphical Models, vol. 64, pp. 1–18, 2002.
[801]
L. Latta and A. Kolb, “Homomorphic Factorization of BRDF-based Lighting Computation,” ACM Trans. on Graphics (Proc. SIGGRAPH), vol. 21, no. 3, pp. 509–516, 2002.
[802]
N. Cuntz, J. Klein, and J. Krokowski, “Realtime Navigation in Highly Complex 3D-Scenes Using JPEG Compression,” in Tagungsband der Informatiktage 2002, Nov. 2002, pp. 224–229.
[803]
M. Scheuering, C-Rezk-Salama, H. Barfuss, A. Schneider, and G. Greiner, “Augmented Reality Based On Fast Deformable 2D-3D Registration For Image Guided Surgery,” 2002.
[804]
G. Soza, P. Hastreiter, M. Bauer, C. Rezk-Salama, C. Nimsky, and G. Greiner, “Intraoperative Registration on Standart PC Graphics Hardware,” in Bildverarbeitung für die Medizin, 2002, pp. 334–337.
[805]
F. Reck, C. Rezk-Salama, R. Grosso, and G. Greiner, “Hardware-Accelerated Visualization of Curvilinear Vector Fields,” 2002.
[806]
V. Blanz, S. Romdhani, and T. Vetter, “Face Identification across Different Poses and Illuminations with a 3D Morphable Model,” in Proc. of the 5th Int. Conference on Automatic Face and Gesture Recognition, 2002, pp. 202–207.
[807]
J. Huang, V. Blanz, and B. Heisele, “Face Recognition Using Component-Based SVM Classification and Morphable Models,” in SVM, 2002, pp. 334–341.
[808]
S. Romdhani, V. Blanz, and and T. Vetter, “Face Identification by Fitting a 3D Morphable Model using Linear Shape and Texture Error Functions,” in Computer Vision – ECCV, 2002, pp. 3–19.
[809]
M. Krödel and K.-D. Kuhnert, “Reinforcement learning to drive a car by pattern matching,” in The 28th Annual Conference of the IEEE Industrial Electronics Society (IECON 2002), 2002, pp. 1728–1734.
[810]
B. Smolka, M. Studer, M. Stommel, and K. Wojciechowski, “Vector median based color gamma filter,” in International Conference on Computer Vision and Graphics (ICCVG), 2002, pp. 678–684.
[811]
B. Smolka, M. Stommel, M. Studer, and K. Wojciechowski, “New class of noise reduction filters based on kernel density estimation,” in International Conference on Computer Vision and Graphics (ICCVG), 2002, pp. 671–677.
[812]
M. Krödel and K.-D. Kuhnert, “Reinforcement learning to drive a car by pattern matching,” 2002.
[813]
A. Schanz, A. Spieker, and K.-D. Kuhnert, “Automatisches Einparken,” 2002.
[814]
K.-D. Kuhnert and M. Krödel, “Autonomous driving by pattern matching and reinforcement learning,” 2002.
[815]
M. Krödel and K.-D. Kuhnert, “Pattern matching as the nucleus for either autonomous driving or driver assistance systems,” 2002.
[816]
A. Schanz, A. Spieker, U. Regensburger, and K.-D. Kuhnert, “Automated parking,” in Proc. International Colloquium on Autonomous and Mobile Systems, 2002, pp. 41–44.
[817]
K.-D. Kuhnert and D. Pechtel, “Towards creating abstract features of complex objects – the fusion of contour points in significant contour sections,” 2002.
[818]
S. S. Todt, “Spatialized Sound Server Implementation,” Electronic Visualization Laboratory, University of Illinois, Chicago, techreport, 2002.
[819]
V. Blanz and T. Vetter, “Face Recognition Based on 3D Shape Estimation from Single Images,” University of Freiburg, techreport, 2002.
[820]
A. Schanz and A. Spieker, “Automatisches Parken als Fahrerassistenzfunktion,” techreport, 2002.
[821]
C. Rezk-Salama, “Volume Rendering Techniques for General Purpose Graphics Hardware,” phdthesis, Computer Science Department, University of Erlangen-Nürnberg, 2002.
[822]
S. S. Todt, “Integration of Multichannel Sound in Virtual Environments,” Diploma Thesis, Fachhochschule Wedel, 2002.
[823]
S. Bayraktar, “Simulating Cloth Behavior by Using Mass-Spring Networks,” Master Thesis, Bilkent University, Ankara, Turkey, 2002.
[824]
T. Ertl et al., “Programmable Graphics Hardware for Interactive Visualization.” Eurographics Tutoral Notes T4, 2002.
[825]
J. Kniss, G. Kindlmann, M. Hadwiger, C. Rezk-Salama, and R. Westermann, “High-Quality Volume Graphics on Consumer PC Hardware.” ACM SIGGRAPH Course Notes 42, 2002.
[826]
J. Haber, N. Magnenat-Thalmann, D. Terzopoulos, T. Vetter, V. Blanz, and K. Kaehler, “Facial Modeling and Animation – Tutorial Notes.” Sep. 2002.
[827]
M. Grzegorzek, “Blutgefaesssegmentierung in HRT-Bildern.” Master Thesis – Silesian University of Technology and University of Erlangen-Nuremberg, Nov. 2002.
[828]
R. Westermann and C. Rezk-Salama, “Real-Time Volume Deformation,” Computer Graphics Forum (Proc. Eurographics), vol. 20, no. 3, 2001.
[829]
D. A. Leopold, A. J. O’Toole, T. Vetter, and V. Blanz, “Prototype-referenced shape encoding revealed by high-level aftereffects,” Nature Neuroscience 4(1), pp. 89–94, 2001.
[830]
B. Tomandl et al., “Local and Remote Visualization Techniques for Interactive Direct Volume Local and Remote Visualization Techniques for Interactive Direct Volume,” RadioGraphics, vol. 21, no. 6, pp. 1561–1572, Nov. 2001.
[831]
C. Rezk-Salama, M. Scheuering, G. Soza, and G. Greiner, “Fast Volumetric Deformation on General Purpose Hardware,” 2001.
[832]
S. Iserhardt-Bauer, T. Ertl, C. Rezk-Salama, and P. Hastreiter, “Webservice für die automatische Generierung von Videodokumenten von Aneurysmen,” 2001.
[833]
M. Scheuering, C. Eckstein, C. Rezk-Salama, K. Hormann, and G. Greiner, “Interactive Repositioning of Bone Fracture Segments,” 2001.
[834]
M. Scheuering et al., “Intra-operative Augmented Reality (AR) With Magnetic Navigation and Multi-Texture Based Volume Rendering for Minimally Invasive Surgery,” 2001.
[835]
S. Iserhardt-Bauer, C. Rezk-Salama, T. Ertl, P. Hastreiter, B. Tomandl, and K. Eberhardt, “Automated 3D Video Documentation for the Analysis of Medical Data,” 2001.
[836]
C. Rezk-Salama and M. Scheuering, “Multitexturbasierte Volumenvisualisierung in der Medizin,” 2001.
[837]
A. Kolb and L. John, “Volumetric Model Repair for Virtual Reality Applications,” in Eurographics Short Presentations, 2001, pp. 249–256.
[838]
F. N. Newell, M. Peskin, H. H. Bülthoff, and V. Blanz, “Memory for atypical and typical objects,” 2001.
[839]
M. Krödel and K.-D. Kuhnert, “Autonomous driving through intelligent image processing and machine learning,” 2001.
[840]
C. Rezk-Salama, M. Scheuering, G. Soza, and G. Greiner, “Fast Volumetric Deformation on General Purpose Hardware,” 2001.
[841]
V. Blanz and T. Vetter, “Reconstructing the Complete 3D Shape of Faces from Partial Information,” University of Freiburg, techreport, 2001.
[842]
L. Latta and A. Kolb, “Lichtspiele in der Medieninformatik.” Auditorium – Jahresschrift der FH Wedel, p. 22-23, 2001.
[843]
B. Tomandl et al., “Virtual Labyrinthoscopy: Visualization of the Inner Ear with Interactive Direct Volume Rendering,” RadioGraphics, vol. 20, no. 2, pp. 547–558, 2000.
[844]
P. Hastreiter, C. Rezk-Salama, C. Nimsky, C. Lürig, and G. Greiner, “Registration Techniques for the Analysis of the Brain Shift in Neurosurgery,” Computers & Graphics, vol. 24, no. 3, pp. 385–389, 2000.
[845]
P. Hastreiter, C. Rezk-Salama, K. Eberhardt, B. Tomandl, and T. Ertl, “Functional Analysis of the Vertebral Column based on MR and Direct Volume Rendering,” Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2000.
[846]
C. Rezk-Salama, P. Hastreiter, J. Scherer, and G. Greiner, “Automatic Adjustment of Transfer Functions for 3D Volume Visualization,” Proc. Vision, Modeling and Visualization, 2000.
[847]
A. Kolb, “Virtuelle Realität an der Fachhochschule Wedel,” Mensch und Technik, VDI Bezirksverband Hamburg, 2000.
[848]
V. Blanz, A. J. O’Toole, T. Vetter, and H. A. Wild, “On the other side of the mean: The perception of dissimilarity in human faces,” Perception 29, pp. 885–891, 2000.
[849]
V. Blanz, A. J. O’Toole, T. Vetter, and H. A. Wild, “On the other side of the mean: The perception of dissimilarity in human faces,” Perception 29, pp. 885–891, 2000.
[850]
C. Rezk-Salama, K. Engel, M. Bauer, G. Greiner, and T-Ertl, “Interactive Volume Rendering on Standard PC Graphics Hardware Using Multi-Textures and Multi-Stage Rasterization,” 2000.
[851]
B. W. Hwang, V. Blanz, T. Vetter, and S. W. Lee, “Face Reconstruction from a Small Number of Feature Points,” in International Conference on Pattern Recognition, ICPR2000 Barcelona, Spain, 2000, pp. 842–845.
[852]
C. Knöppel, A. Schanz, and B. Michaelis, “Robust vehicles detection at large distance using low resolution cameras,” in Proc. IEEE Inteligent Vehicles Symposium, 2000, pp. 387–391.
[853]
M. Krödel and K.-D. Kuhnert, “Towards a Learning Autonomous Driver system,” 2000.
[854]
G. H. Bakir and K.-D. Kuhnert, “Multi-mobile-robot simulation for everyone,” 2000.
[855]
D. Pechtel and K.-D. Kuhnert, “Towards feature fusion – the synthesis of contour sections distinguishing contours from different classes,” 2000.
[856]
D. Pechtel and K.-D. Kuhnert, “Towards automatically learning an implicit model from 2D-images based on a local similarity analysis of contours,” 2000.
[857]
D. Pechtel and K.-D. Kuhnert, “Ein Lern- und Klassifikationssystem zur Erkennung komplexer und/oder deformierter 2D-Objektkonturen mit Merkmalsfusion,” 2000.
[858]
D. Pechtel and K.-D. Kuhnert, “Towards feature usion – A classifier on the basis of automatically generated significant contour sections,” 2000.
[859]
C. Knöppel, A. Schanz, U. Regensburger, and B. Michaelis, “Robuste Erkennung von Straßenfahrzeugen im Rückraumbereich eines Straßenfahrzeugs,” in Proc. 22. DAGM-Symposium 2000, 2000, pp. 35–40.
[860]
V. Blanz, “Automatische Rekonstruktion der dreidimensionalen Form von Gesichtern aus einem Einzelbild,” phdthesis, Universität Tübingen, 2000.
[861]
V. Blanz and T. Vetter, “A Morphable Model for the Synthesis of 3D Faces,” SIGGRAPH 1999 Conference Proceedings, 1999.
[862]
V. Blanz, M. J. Tarr, and H. H. Buelthoff, “What object attributes determine canonical views2,” Perception, vol. 28, pp. 575–599, 1999.
[863]
A. J. O’Toole, T. Price, T. Vetter, J. C. Bartlett, and V. Blanz, “Three-dimensional shape and two-dimensional surface textures of human faces: The role of ‘averages’ in attractiveness and age.,” Image and Vision Computing Journal, vol. 18, pp. 9–19, 1999.
[864]
A. J. O’Toole, T. Vetter, and V. Blanz, “Three-dimensional shape and two-dimensional surface reflectance contributions to face recognition: An application of three-dimensional morphing,” Vision Research, vol. 39, pp. 3145–3155, 1999.
[865]
P. Hastreiter, C. Rezk-Salama, G. Greiner, and T. Ertl, “Interactive Direct Volume Rendering of the Inner Ear for the Planning of Neurosurgery,” 1999.
[866]
C. Rezk-Salama, P. Hastreiter, G. Greiner, and T. Ertl, “Non-linear Registration of Pre- and Intraoperative Volume Data Based on Piecewise Linear Transformation,” 1999.
[867]
C. Rezk-Salama, P. Hastreiter, K. Eberhardt, B. Tomandl, and T. Ertl, “Interactive Direct Volume Rendering of Dural Arteriovenous Fistulae in MR-CISS Data,” 1999.
[868]
C. Rezk-Salama, P. Hastreiter, C. Teitzel, and T. Ertl, “Interactive Exploration of Volume Line Integral Convolution Based on 3D Texture Mapping,” 1999.
[869]
A. J. O’Toole, V. Blanz, T. Vetter, and H. A. Wild, “On the other-side of the mean: Perceiving the dissimilarity of faces,” Nov. 1999.
[870]
C. Wallraven, V. Blanz, and T. Vetter, “3D-Reconstruction of Faces: Combining Stereo with Class-Based Knowledge,” in Mustererkennung, 1999, pp. 405–412.
[871]
D. Pechtel and K.-D. Kuhnert, “Automatic generation of significant and local feature groups of complex and deformed objects,” in Proc. of the 10th Int’l Conf. on Image Analysis and Processing (ICIAP99), 1999, pp. 340–345.
[872]
D. Pechtel and K.-D. Kuhnert, “Generating automatically local feature groups of complex and deformed objects,” in Proc. of 23rd Annual Conference Gesellschaft für Klassifikation e.V., 1999, pp. 237–244.
[873]
T. Vetter and V. Blanz, “Estimating Coloured 3D Face Models from Single Images: An Example Based Approach,” Computer Vision ECCV 1998 – Freiburg, Germany, 1998.
[874]
P. Hastreiter, C. Rezk-Salama, G. Greiner, and T. Ertl, “Efficient Representation of Cortical Convolutions for the Analysis of Brain Surface Topology,” 1998.
[875]
P. Hastreiter, C. Rezk-Salama, B. Tomandl, K. Eberhardt, and T. Ertl, “Fast Analysis of Intracranial Aneurysms based on Interactive Direct Volume Rendering and CT Angiography,” 1998.
[876]
K.-D. Kuhnert, “Recognition of complex objects for sorting post consumer goods by using image processing and neural networks,” in Proc. of the Fifth International Conference on Mechatronics and Machine Vision in Practice, 1998, pp. 265–270.
[877]
M. J. Tarr, H. H. Buelthoff, M. Zabinski, and V. Blanz, “To what extent do unique parts influence recognition across changes in viewpoint2,” Psychological Science, 8(4), pp. 282–289, 1997.
[878]
T. Vetter and V. Blanz, “Generalization to Novel Views from a Single Face Image,” in 3D Image Analysis and Synthesis 1997 –Erlangen, 1997, pp. 43–50.
[879]
P. Slusallek, R. Klein, A. Kolb, and G. Greiner, “Object-Oriented and Mixed Programming Paradigms,” P. Wisskirchen, Ed. Springer, 1996.
[880]
V. Blanz, B. Schoelkopf, H. H. Buelthoff, C. Burges, V. Vapnik, and T. Vetter, “Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models,” in ICANN96, Bochum, 1996, pp. 251–256.
[881]
A. Kolb, H. Pottmann, and H.-P. Seidel, “Fair Surface Reconstruction Using Quadratic Functionals,” Computer Graphics Forum (Proc. Eurographics), vol. 14, no. 3, pp. 469–479, 1995.
[882]
G. Greiner, A. Kolb, R. Pfeifle, H.-P. Seidel, M. Encarnacao, and R. Klein, “A Platform for Visualizing Curves and Surfaces,” Computer Aided Design, vol. 24, no. 7, pp. 559–566, 1995.
[883]
A. Kolb and H.-P. Seidel, “Interpolating Scattered Data With C\mathtwosuperior Surfaces,” Computer Aided Design, vol. 27, no. 4, pp. 277–282, 1995.
[884]
A. Kolb, H. Pottmann, and H.-P. Seidel, “Surface Reconstruction Based Upon Minimum Norm Networks,” in Math. Methods for Curves and Surfaces, 1995, pp. 293–304.
[885]
A. Kolb, “Optimierungsansätze bei der Interpolation verteilter Daten,” phdthesis, Universität Erlangen Nürnberg, 1995.
[886]
P. Slusallek, R. Klein, A. Kolb, and G. Greiner, “An Object-Oriented Approach to Curves and Surfaces,” in Proc. 4th Eurographics Workshop on Object-Oriented Graphics, 1994, pp. 29–39.
[887]
P. Slusallek, R. Klein, A. Kolb, and G. Greiner, “An Object-Oriented Framework for Curves and Surfaces With Applications,” 1994.