P
T. Preusser, Droske, M., Garbe, C. S., Rumpf, M., and Telea, A.,
“A phase field method for joint denoising, edge detection, and motion estimation in image sequence processing.”,
SIAM Journal of Applied Mathematics, vol. 68, pp. 599-618, 2007.
P. Pletscher, Nowozin, S., Kohli, P., and Rother, C.,
“Putting MAP back on the map”, in
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6835 LNCS, pp. 111–121.
P. Pletscher, Nowozin, S., Kohli, P., and Rother, C.,
“Putting MAP back on the map”, in
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6835 LNCS, pp. 111–121.
P. Pinggera, Ramos, S., Gehrig, S., Franke, U., Rother, C., and Mester, R.,
“Lost and found: Detecting small road hazards for self-driving vehicles”, in
IEEE International Conference on Intelligent Robots and Systems, 2016, vol. 2016-Novem, pp. 1099–1106.
M. Pfannmöller, Flügge, H., Benner, G., Wacker, I., Sommer, C., Hanselmann, M., Schmale, S., Schmidt, H., Hamprecht, F. A., Rabe, T., Kowalsky, W., and Schröder, R.,
“Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy”,
Nano Letters, vol. 11, pp. 3099-3107, 2011.
S. Petra, Schnörr, C., Becker, F., and Lenzen, F.,
“B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems”, in
Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013, 2013, vol. 7893, pp. 110-124.
Technical Report (1.15 MB) S. Petra, Schröder, A., Wieneke, B., and Schnörr, C.,
“On Sparsity Maximization in Tomographic Particle Image Reconstruction”, in
Pattern Recognition – 30th DAGM Symposium, 2008, vol. 5096, pp. 294–303.
S. Petra and Schnörr, C.,
“TomoPIV meets Compressed Sensing”,
Pure Math. Appl., vol. 20, pp. 49 – 76, 2009.
S. Petra, Schnörr, C., Schröder, A., and Wieneke, B.,
“Tomographic Image Reconstruction in Experimental Fluid Dynamics: Synopsis and Problems”, in
Proc. 6th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 07), Constanta, Romania, 2007.
S. Petra, Schnörr, C., Becker, F., and Lenzen, F.,
“B-SMART: Bregman-Based First-Order Algorithms for Non-Negative
Compressed Sensing Problems”, in
Proceedings of the 4th International Conference on Scale Space and
Variational Methods in Computer Vision SSVM, 2013, pp. 110-124.
S. Petra, Schröder, A., Wieneke, B., and Schnörr, C.,
“On Sparsity Maximization in Tomographic Particle Image Reconstruction”, in
Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 294--303.
Technical Report (1014.71 KB) S. Peter, Kirschbaum, E., Both, M., Campbell, L. A., Harvey, B. K., Heins, C., Durstewitz, D., Diego, F., and Hamprecht, F. A.,
“Sparse convolutional coding for neuronal assembly detection”,
NIPS, poster. 2017.
W. Peckar, Schnörr, C., Rohr, K., Stiehl, H. –S., and Spetzger, U.,
“Linear and Incremental Estimation of Elastic Deformations in Medical Registration Using Prescribed Displacements”,
Machine Graphics & Vision, vol. 7, pp. 807–829, 1998.
W. Peckar, Schnörr, C., Rohr, K., and Stiehl, H. –S.,
“Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements”,
J. Math. Imaging and Vision, vol. 10, pp. 143–162, 1999.
W. Peckar, Schnörr, C., Rohr, K., and Stiehl, H. S.,
“Two-Step Parameter-Free Elastic Image Registration with Prescribed Point Displacements”, in
Proc. 9th Int. Conf. on Image Analysis and Processing (ICIAP'97), Florence, Italy, 1997.