HCI Logo
Heidelberg University Logo
IWR Logo

Publications

Export 1965 results:
Author Title Type [ Year(Desc)]
2013
Kröger, T, Mikula, S, Denk, W, Köthe, U and Hamprecht, F A (2013). Learning to Segment Neurons with Non-local Quality Measures. MICCAI 2013. Proceedings, part II. Springer. 8150 419-427PDF icon Technical Report (2.87 MB)
Antic, B, Milbich, T and Ommer, B (2013). Less is More: Video Trimming for Action Recognition. Proceedings of the IEEE International Conference on Computer Vision, Workshop on Understanding Human Activities: Context and Interaction. IEEE. 515--521PDF icon Technical Report (984.89 KB)
Schmitzer, B and Schnörr, C (2013). Modelling convex shape priors and matching based on the Gromov-Wasserstein distance. Journal of Mathematical Imaging and Vision. 46 143-159PDF icon Technical Report (957.78 KB)
Schmitzer, B and Schnörr, C (2013). Modelling convex shape priors and matching based on the Gromov-Wasserstein distance. Journal of Mathematical Imaging and Vision. 46 143-159
Monroy, A, Bell, P and Ommer, B (2013). A Morphometric Approach to Reception Analysis of Premodern Art. Scientific Computing & Cultural HeritagePDF icon Technical Report (17.75 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
Bell, P, Schlecht, J and Ommer, B (2013). Nonverbal Communication in Medieval Illustrations Revisited by Computer Vision and Art History. Visual Resources Journal, Special Issue on Digital Art History. Taylor & Francis. 29 26--37. http://www.tandfonline.com/doi/abs/10.1080/01973762.2013.761111
Schmitzer, B and Schnörr, C (2013). Object Segmentation by Shape Matching with Wasserstein Modes. Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2013). 123-136
Kiefhaber, D, Rocholz, R, Bauer, P Salomon and Jähne, B (2013). Optical measurement of surface ocean waves. 3rd EOS Topical Meeting on Blue Photonics --- Optics in the Sea
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 (2013). Optimal Depth Estimation and Extended Depth of Field from Single Images by Computational Imaging using Chromatic Aberrations. IWR, Univ. Heidelberg. Dissertation
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
Garbe, C S and Ommer, B (2013). Parameter Estimation in Image Processing and Computer Vision. Model Based Parameter Estimation: Theory and Applications. Springer. 311--334PDF icon Technical Report (928 KB)
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). Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)PDF icon Technical Report (159.71 KB)
Swoboda, P, Savchynskyy, B, Kappes, J H and Schnörr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)
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
Ommer, B (2013). The Role of Shape in Visual Recognition. Shape Perception in Human Computer Vision: An Interdisciplinary Perspective. Springer. 373--385PDF icon Technical Report (8.18 MB)
Herrmannsdörfer, (2013). Simplestorm An Efficient Selfcalibrating Reconstruction Algorithm For Single And Multi-Channel Localisation Microscopy. University of Heidelberg
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
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)
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 105-127
Lefloch, D, Nair, R, Lenzen, F, Schäfer, H, Streeter, L, Cree, M J, Koch, R and Kolb, A (2013). Technical Foundation and Calibration Methods for Time-of-Flight Cameras. Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications. Springer. 8200 3-24
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, 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
Yarlagadda, P, Monroy, A, Carque, B and Ommer, B (2013). Towards a Computer-based Understanding of Medieval Images. Scientific Computing & Cultural Heritage. Springer. 89--97. http://link.springer.com/chapter/10.1007/978-3-642-28021-4_10
Kappes, J H, Speth, M, Reinelt, G and Schnörr, C (2013). Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization. CVPRPDF icon Technical Report (623.84 KB)
Kappes, J H, Speth, M, Reinelt, G and Schnörr, C (2013). Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization. CVPR

Pages