2013
T. Kröger, Mikula, S., Denk, W., Köthe, U., and Hamprecht, F. A.,
“Learning to Segment Neurons with Non-local Quality Measures”, in
MICCAI 2013. Proceedings, part II, 2013, vol. 8150, pp. 419-427.
Technical Report (2.87 MB) B. Antic, Milbich, T., and Ommer, B.,
“Less is More: Video Trimming for Action Recognition”, in
Proceedings of the IEEE International Conference on Computer Vision, Workshop on Understanding Human Activities: Context and Interaction, 2013, p. 515--521.
Technical Report (984.89 KB) M. Becker, Baron, M., Kondermann, D., Bussler, M., and Helzle, V.,
“Movie Dimensionalization Via Sparse User Annotations”, in
submitted to 3DTV-Con, 2013.
P. Bell, Schlecht, J., and Ommer, B.,
“Nonverbal Communication in Medieval Illustrations Revisited by Computer Vision and Art History”,
Visual Resources Journal, Special Issue on Digital Art History, vol. 29, p. 26--37, 2013.
B. Schmitzer and Schnörr, C.,
“Object Segmentation by Shape Matching with Wasserstein Modes”, in
Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2013), 2013, pp. 123-136.
C. S. Garbe and Ommer, B.,
“Parameter Estimation in Image Processing and Computer Vision”, in
Model Based Parameter Estimation: Theory and Applications, Springer, 2013, p. 311--334.
Technical Report (928 KB) P. Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C.,
“Partial Optimality via Iterative Pruning for the Potts Model”, in
Proceedings of the 4th International Conference on Scale Space and
Variational Methods in Computer Vision SSVM, 2013, pp. 477-488.
B. Ommer,
“The Role of Shape in Visual Recognition”, in
Shape Perception in Human Computer Vision: An Interdisciplinary Perspective, Springer, 2013, p. 373--385.
Technical Report (8.18 MB) S. Meister, Nair, R., and Kondermann, D.,
“Simulation of Time-of-Flight Sensors using Global Illumination”, in
Vision, Modeling and Visualization (VMV), 2013 International Workshop
on. Proceedings, 2013, pp. 33-40.
K. Berger, Meister, S., Nair, R., and Kondermann, D.,
“A State of the Art Report on Kinect Sensor Setups in Computer Vision”, in
Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, 2013, vol. 8200, pp. 257-272.
R. Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., and Kondermann, D.,
“A Survey on Time-of-Flight Stereo Fusion”, in
Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8022, pp. 105-127.
R. Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., Magnor, M., and Kondermann, D.,
“A Survey on Time-of-Flight Stereo Fusion”,
Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 105-127, 2013.
Technical Report (6.05 MB) R. Nair, Ruhl, K., Lenzen, F., Meister, S., Schäfer, H., Garbe, C. S., Eisemann, M., Magnor, M., and Kondermann, D.,
“A Survey on Time-of-Flight Stereo Fusion”,
Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 105-127, 2013.
D. Lefloch, Nair, R., Lenzen, F., Schäfer, H., Streeter, L., Cree, M. J., Koch, R., and Kolb, A.,
“Technical Foundation and Calibration Methods for Time-of-Flight Cameras”,
Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications, vol. 8200. Springer, pp. 3-24, 2013.
D. Lefloch, Nair, R., Lenzen, F., Schäfer, H., Streeter, L., and Cree, M. J.,
“Technical Foundation and Calibration Methods for Time-of-Flight Cameras”, in
Time-of-Flight Imaging: Algorithms, Sensors and Applications, 2013, vol. 8200.
J. Davis, Jähne, B., Kolb, A., Raskar, R., Theobalt, C., Davis, J., Jähne, B., Raskar, R., Theobalt, C., and Kolb, A., Eds.,
“Time-of-Flight Imaging: Algorithms, Sensors and Applications (Dagstuhl Seminar 12431)”,
Dagstuhl Reports, vol. 2, p. 79--104, 2013.
P. Yarlagadda, Monroy, A., Carque, B., and Ommer, B.,
“Towards a Computer-based Understanding of Medieval Images”, in
Scientific Computing & Cultural Heritage, Springer, 2013, p. 89--97.
]