Publications

2013

Haeusler, R, Nair, R and Kondermann, D (2013). Ensemble Learning for Confidence Measures in Stereo Vision. CVPR 2013, in press. 305-312
Savchynskyy, B and Schmidt, S (2013). Getting Feasible Variable Estimates From Infeasible Ones: MRF Local Polytope Study. Workshop on Inference for Probabilistic Graphical Models at ICCV. Proceedings
Savchynskyy, B, Kappes, J H, Swoboda, P and Schnörr, C (2013). Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation. NIPS. Proceedings. 1950-1958
Wanner, S, Straehle, C N and Goldlücke, B (2013). Globally Consistent Multi-Label Assignment on the Ray Space of 4D Light Fields. CVPR 2013. Proceedings. 1011-1018
Wanner, S, Straehle, C N and Goldlücke, B (2013). Globally consistent multi-label assignment on the ray space of 4D light fields. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Donath, A and Kondermann, D (2013). How Good is Crowdsourcing for Optical Flow Ground Truth Generation?. submitted to CVPR
Geese, M (2013). Image Sensor Nonuniformity Correction by a Scene-Based Maximum Likelihood Approach. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/14391
Diego, F and Hamprecht, F A (2013). Learning Multi-Level Sparse Representation. NIPS. Proceedings. http://papers.nips.cc/paper/5076-learning-multi-level-sparse-representationsPDF icon Technical Report (2.79 MB)
Diego, F and Hamprecht, F A (2013). Learning Multi-Level Sparse Representation for Identifying Neuronal Activity. Signal Processing with Adaptive Sparse Structured Representations Workshop (SPARS). Book of AbstractsPDF icon Technical Report (1.05 MB)
Becker, M, Baron, M, Kondermann, D, Bussler, M and Helzle, V (2013). Movie Dimensionalization Via Sparse User Annotations. submitted to 3DTV-Con
Kondermann, D and Becker, M (2013). Movie Dimensionalization Via Sparse User Annotations. submitted to ICCV
Meister, S (2013). On Creating Reference Data for Performance Analysis in Image Processing. University of Heidelberg
Atif, M (2013). Optimal Depth Estimation and Extended Depth of Field from Single Images by Computational Imaging using Chromatic Aberrations. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/15594
Atif, M and Jähne, B (2013). Optimal Depth Estimation from a Single Image by Computational Imaging Using Chromatic Aberrations. tm --- Technisches Messen. 80 343--348
Lellmann, J, Lenzen, F and Schnörr, C (2013). Optimality Bounds for a Variational Relaxation of the Image Partitioning Problem. Journal of Mathematical Imaging and Vision. 47 (3) 239-257
Swoboda, P, Savchynskyy, B, Kappes, J H and Schnörr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision SSVM. 477-488
Swoboda, P, Savchynskyy, B, Kappes, J H and Schnörr, C (2013). Persistency by Pruning for General Graphical Models. submitted to NIPS 2013
Geese, M, Ruhnau, P and Jähne, B (2013). PRNU and DSNU Maximum Likelihood Estimation Using Sensor Statistics. tm --- Technisches Messen. 80 321--328
Wanner, S and Goldlücke, B (2013). Reconstructing Reflective and Transparent Surfaces from Epipolar Plane Images. Pattern Recognition. Springer. 1--10
Meister, S, Nair, R and Kondermann, D (2013). Simulation of Time-of-Flight Sensors using Global Illumination. Vision, Modeling and Visualization (VMV), 2013 International Workshop on. Proceedings. 33-40
Lefloch, D, Nair, R, Lenzen, F, Schäfer, H, Streeter, L and Cree, M J (2013). Technical Foundation and Calibration Methods for Time-of-Flight Cameras. Time-of-Flight Imaging: Algorithms, Sensors and Applications. Springer. 8200
Goldlücke, B and Wanner, S (2013). The Variational Structure of Disparity and Regularization of 4D Light Fields. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Goldlücke, B, Strekalovskiy, E and Cremers, D (2013). Tight convex relaxations for vector-valued labeling. SIAM Journal on Imaging Sciences
(2013). Time-of-Flight Imaging: Algorithms, Sensors and Applications (Dagstuhl Seminar 12431). Dagstuhl Reports. Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. 2 79--104. http://drops.dagstuhl.de/opus/volltexte/2013/3904
Becker, F, Lenzen, F, Kappes, J H and Schnörr, C (2013). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. International Journal of Computer Vision. 105 (3) 269-297
Becker, F, Lenzen, F, Kappes, J H and Schnörr, C (2013). Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences. International Journal of Computer Vision. Springer US. 105 269--297. http://dx.doi.org/10.1007/s11263-013-0639-7PDF icon Technical Report (15.4 MB)
Jähne, (2013). Von optischer 3D-Messtechnik zu lichtfeldbasierter Bildakquisition und -verarbeitung. Photogrammetrie, Laserscanning, Optische 3D-Messtechnik, Beiträge der Oldenburger 3D-Tage 2013. Wichmann. 1--8. http://www.ub.uni-heidelberg.de/archiv/17698
Márquez-Valle, P, Gil, D, Hernàndez-Sabaté, A and Kondermann, D (2013). When is a confidence measure good enough?. submitted to CVPR 2013

2012

Jähne, (2012). 50. Heidelberger Bildverarbeitungsforum --- Jubiläumsinterview mit Prof. Dr. Bernd Jähne
Kappes, J H, Savchynskyy, B and Schnörr, C (2012). A Bundle Approach To Efficient MAP-Inference by Lagrangian Relaxation. CVPR. Proceedings. 1688-1695
Voss, B, Stapf, J, Berthe, A and Garbe, C S (2012). Bichromatic Particle Streak Velocimetry bPSV -- Interfacial, v3C3D velocimetry using a single camera. Exp. Fluids
Fehr, J and Jähne, B (2012). Bilder berechnen - nicht nur aufnehmen. Optik & Photonik. 7 50-53
Fehr, J and Jähne, B (2012). Bilder berechnen --- nicht nur aufnehmen : ``Computational Photography'' wird zunehmend interessant für die industrielle Bildverarbeitung. Optik & Photonik. 7 50--53
Geese, M, Jähne, B and Ruhnau, P (2012). CNN Based Dark Signal Non-Uniformity Estimation. CNNA. 1-6
Geese, M, Ruhnau, P and Jähne, B (2012). CNN based dark signal non-uniformity estimation. Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on. 1--6
Schäfer, H, Lenzen, F, Meister, S and Garbe, C S (2012). Edge Detection in Time-of-Flight Images. submitted to ECCV, 2nd Workshop on Consumer Depth Cameras for Computer Vision
Savchynskyy, B, Schmidt, S, Kappes, J H and Schnörr, C (2012). Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing. UAI. Proceedings. 746-755
Erz, M, Mischler, W, Trein, J, Lin, Z, Lay, R and Jähne, B (2012). Erweiterte Schärfentiefe mittels Scheimpflug-Bildaufnahme und Bildfusion. Forum Bildverarbeitung. KIT Scientific Publishing. 1--12. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440
Jähne, (2012). Gegenwart und Zukunft der industriellen Bildverarbeitung --- Aufbruch in drei Dimensionen plus. http://www.qm-infocenter.de/258063
Savchynskyy, B and Schmidt, S (2012). Getting Feasible Variable Estimates From Infeasible Ones: MRF Local Polytope Study. arXiv:1210.4081

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