Publications
Export 277 results:
Author [ Title
Filters: Author is Christoph Schnörr [Clear All Filters]
Segmentation of Visual Motion by Minimizing Convex Non-Quadratic Functionals. 12th Int. Conf. on Pattern Recognition
(1994). Second-Order Recursive Filtering on the Rigid-Motion Lie Group SE(3) Based on Nonlinear Observations. http://arxiv.org/abs/1507.06810
Technical Report (4.42 MB)
(2015). 
Second Order Minimum Energy Filtering on SE(3) with Nonlinear Measurement Equations. Scale Space and Variational Methods in Computer Vision (SSVM 2015). Springer International Publishing. http://dx.doi.org/10.1007/978-3-319-18461-6_32
Technical Report (364.01 KB)
(2015). 
Robust 3D object registration without explicit correspondence using geometric integration. Machine Vision and Applications. 21 601-611. http://www.springerlink.com/content/g20710062l014241/
Technical Report (1.65 MB)
(2010). 
Reverse-Convex Programming for Sparse Image Codes. Proc.~Int.~Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05). Springer. 3757 600-616
(2005). (1996). Repräsentation von Bilddaten mit einem konvexen Variationsansatz. Mustererkennung 1996. Springer-Verlag. 21--28
(1996). Regularizers for Vector-Valued Data and Labeling Problems in Image Processing. Control Systems and Computers. 2 43--54
(2011). Real-Time Optic Flow Computation with Variational Methods. Proc.~Computer Analysis of Images and Patterns (CAIP'03). Springer. 2756 222-229
(2003). Real--Time Adaptive Smoothing with a 1D Nonlinear Relaxation Network in Analogue VLSI Technology. Mustererkennung 1998. Springer
(1998). Räumlich--zeitliche Berechnung des optischen Flusses mit nichtlinearen flussabhängigen Glattheitstermen. Mustererkennung 1999. Springer. 317--324
(1999). Probabilistic Subgraph Matching Based on Convex Relaxation. Proc.~Int.~Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'05). Springer. 3757 171-186
(2005). Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization. Medical Image Analysis. 18 781-794
Technical Report (4.07 MB)
(2014). 
Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization. Med. Image Anal. 18 781–794
(2014). Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts. Proc.~SSVM. Springer
Technical Report (1.1 MB)
(2015). 
Prior Learning and Convex-Concave Regularization of Binary Tomography. Electr.~Notes in Discr.~Math. 20 313-327
(2005). Plane Wave Acoustic Superposition for Fast Ultrasound Imaging. International Ultrasonics Symposium
(2016). Physically Consistent Variational Denoising of Image Fluid Flow Estimates. Pattern Recognition -- 30th DAGM Symposium. Springer Verlag. 5096 406--415
Technical Report (1.6 MB)
(2008). 
Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates. IEEE Trans.~Image Proc. 19 586-595
Technical Report (2.65 MB)
(2010). 
Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. Fundamenta Informaticae. 135 73--102
Technical Report (2.24 MB)
(2014). 
Persistency by Pruning for General Graphical Models. submitted to NIPS 2013
(2013). Performance Evaluation Of A Convex Relaxation Approach To The Quadratic Assignment Of Relational Object Views. Dept.~Math.~and Comp.~Science
(2002). Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models. IEEE Trans.~Intell.~Transp.~Systems. 9 333-343
(2008). (2000). (2007). (2007). Pattern Recognition, 29Th Dagm Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings. Springer
(2007). Pattern Recognition -- 29th DAGM Symposium. Springer. 4713
Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)
Technical Report (159.71 KB)
(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
(2013). Partial Optimality by Pruning for MAP-inference with General GraphicalModels. CVPR. Proceedings. 1170-1177
(2014). Partial Optimality by Pruning for MAP-inference with General Graphical Models. IEEE Conference on Computer Vision and Pattern Recognition 2014
Technical Report (703.34 KB)
(2014). 
Parameter-Free Elastic Deformation Approach for 2D and 3D Registration Using Prescribed Displacements. J.~Math.~Imaging and Vision. 10 143--162
(1999). Parallele und global konvergente iterative Minimierung nichtlinearer Variationsansätze zur adaptiven Glättung und Segmentation von Bildern. Mustererkennung 1998. Springer
(1998). Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing. Computer Vision -- ECCV 2004. Springer. 3024 205-216
(2004). Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography. Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011). Springer. 6893 370–377
(2011).