Publications of the core HCI staff

2014

Gottfried, J - M, Nair, R, Meister, S, Garbe, C S and Kondermann, D (2014). Time of flight motion compensation revisited. International Conference on Image Processing, ICIP 2014
Esparza, J, Helmle, M and Jähne, B (2014). Towards surround stereo vision: analysis of a new surround view camera configuration for driving asistance applications. 17th International Conference on Intelligent Transportation Systems (ITSC 2014)
Fiaschi, L, Diego, F, Grosser, K - H, Schiegg, M, Köthe, U, Zlatic, M and Hamprecht, F A (2014). Tracking indistinguishable translucent objects over time using weakly supervised structured learning. CVPR. Proceedings. 2736 - 2743PDF icon Technical Report (1.47 MB)
Lenor, S, Martini, J, Jähne, B, Stopper, U, Weber, S and Ohr, F (2014). Tracking-based visibility estimation. Pattern Recognition, 36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014. Springer. 8753 365--376
Wanner, S and Goldlücke, B (2014). Variational light field analysis for disparity estimation and super-resolution. IEEE Trans. Pattern Analysis Machine Intelligence. 36 606--619
Esparza, J, Helmle, M and Jähne, B (2014). Wide base stereo with fisheye optics: a robust approach for 3D reconstruction in driving assistance. Pattern Recognition, 36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014. Springer. 8753 342--353

2013

Jähne, (2013). 625 Jahre Ruperto Carola und 25 Jahre Bildverarbeitung. Universität Heidelberg. Menschen, Lebenswege, Forschung. Gesellschaft der Freunde Universität Heidelberg e. V. 55 71--73. http://d-nb.info/1033237000
Lenzen, F, Becker, F, Lellmann, J, Petra, S and Schnörr, C (2013). A Class of Quasi-Variational Inequalities for Adaptive Image Denoising and Decomposition. Computational Optimization and Applications (COAP). 54 (2) 371-398
Lenzen, F, Becker, F, Lellmann, J, Petra, S and Schnörr, C (2013). A class of quasi-variational inequalities for adaptive image denoising and decomposition. Computational Optimization and Applications. Springer Netherlands. 54 371-398. http://dx.doi.org/10.1007/s10589-012-9456-0PDF icon Technical Report (748.66 KB)
Berger, K, Meister, S, Nair, R and Kondermann, D (2013). A State of the Art Report on Kinect Sensor Setups in Computer Vision. Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications. Springer. 8200 257-272
Nair, R, Ruhl, K, Lenzen, F, Meister, S, Schäfer, H, Garbe, C S, Eisemann, M and Kondermann, D (2013). A Survey on Time-of-Flight Stereo Fusion. Time-of-Flight Imaging: Algorithms, Sensors and Applications. Springer. 8022 105-127
Nair, R, Ruhl, K, Lenzen, F, Meister, S, Schäfer, H, Garbe, C S, Eisemann, M, Magnor, M and Kondermann, D (2013). A Survey on Time-of-Flight Stereo Fusion. Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications. Springer. 8200 105-127PDF icon Technical Report (6.05 MB)
Lenzen, F, Becker, F and Lellmann, J (2013). Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities. Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision SSVM. Springer. 7893 61-73
Lenzen, F, Becker, F and Lellmann, J (2013). Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities. Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013. Springer. 54 371--398PDF icon Technical Report (702.08 KB)
Diego, F, Reichinnek, S, Both, M and Hamprecht, F A (2013). Automated Identification of Neuronal Activity from Calcium Imaging by Sparse Dictionary Learning. ISBI 2013. Proceedings. 1058-1061PDF icon Technical Report (2.82 MB)
Petra, S, Schnörr, C, Becker, F and Lenzen, F (2013). B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems. Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision SSVM. 110-124
Petra, S, Schnörr, C, Becker, F and Lenzen, F (2013). B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems. Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013. Springer. 7893 110-124PDF icon Technical Report (1.15 MB)
Mersmann, S, Seitel, A, Erz, M, Jähne, B, Nickel, F, Mieth, M, Mehrabi, A and Maier-Hein, L (2013). Calibration of time-of-flight cameras for accurate intraoperative surface reconstruction. Med. Phys. 40 082701
Wanner, S, Meister, S and Goldlücke, B (2013). Datasets and Benchmarks for Densely Sampled 4D Light Fields. Vision, Modeling & Visualization. 225--226
Lenzen, F, Kim, K I, Schäfer, H, Nair, R, Meister, S, Becker, F and Garbe, C S (2013). Denoising Strategies for Time-of-Flight Data. Time-of-Flight Imaging: Algorithms, Sensors and Applications. Springer. 8200 24-25
Lenzen, F, Kim, K In, Schäfer, H, Nair, R, Meister, S, Becker, F and Garbe, C S (2013). Denoising Strategies for Time-of-Flight Data. Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications. Springer. 8200 25-45PDF icon Technical Report (961.62 KB)
Schäfer, H, Lenzen, F and Garbe, C S (2013). Depth and Intensity Based Edge Detection in Time-of-Flight Images. 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2013 International Conference on. IEEE. 111-118
Schäfer, H, Lenzen, F and Garbe, C S (2013). Depth and Intensity Based Edge Detection in Time-of-Flight Images. 3DV-Conference, 2013 International Conference on. 111-118PDF icon Technical Report (1.85 MB)
Jähne, (2013). Der Standard EMVA 1288 zur Charakterisierung von Kameras und Bildsensoren: von 2D- zu 3D-Kameras. Photogrammetrie, Laserscanning, Optische 3D-Messtechnik, Beiträge der Oldenburger 3D-Tage 2013. Wichmann. 388--399. http://www.ub.uni-heidelberg.de/archiv/17699
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 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 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)
Kondermann, D and Becker, M (2013). Movie Dimensionalization Via Sparse User Annotations. submitted to ICCV
Becker, M, Baron, M, Kondermann, D, Bussler, M and Helzle, V (2013). Movie Dimensionalization Via Sparse User Annotations. submitted to 3DTV-Con
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

Pages