{\rtf1\ansi\deff0\deftab360 {\fonttbl {\f0\fswiss\fcharset0 Arial} {\f1\froman\fcharset0 Times New Roman} {\f2\fswiss\fcharset0 Verdana} {\f3\froman\fcharset2 Symbol} } {\colortbl; \red0\green0\blue0; } {\info {\author Biblio 7.x}{\operator }{\title Biblio RTF Export}} \f1\fs24 \paperw11907\paperh16839 \pgncont\pgndec\pgnstarts1\pgnrestart Bruhn, A, Weickert, J, Kohlberger, T and Schn\'f6rr, C (2006). A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods. Int.~J.~Computer Vision. 70 257-277\par \par Bruhn, A, Weickert, J, Kohlberger, T and Schn\'f6rr, C (2006). A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods. Int. J. Computer Vision. 70 257-277\par \par Bruhn, A, Weickert, J, Kohlberger, T and Schn\'f6rr, C (2005). Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time. Scale-Space 2005. Springer. 3459 279?290\par \par Bruhn, A, Weickert, J and Schn\'f6rr, C (2005). Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods. 61 211-231\par \par Welk, M, Becker, F, Schn\'f6rr, C and Weickert, J (2005). Matrix-Valued Filters as Convex Programs. Scale-Space 2005. Springer. 3459 204?216\par \par Bruhn, A, Weickert, J, Feddern, C, Kohlberger, T and Schn\'f6rr, C (2005). Variational optic flow computation in real-time. IEEE Trans. Image Proc. 14 608?615\par \par Bruhn, A, Jakob, T, Fischer, M, Weickert, J, Br\'fcning, U and Schn\'f6rr, C (2004). High performance cluster computing with 3-D nonlinear diffusion filters. Real-Time Imaging. 10 41?51\par \par Bruhn, A, Weickert, J, Feddern, C, Kohlberger, T and Schn\'f6rr, C (2003). Real-Time Optic Flow Computation with Variational Methods. Proc. Computer Analysis of Images and Patterns (CAIP'03). Springer. 2756 222-229\par \par Bruhn, A, Weickert, J, Feddern, C, Kohlberger, T and Schn\'f6rr, C (2003). Variational Optic Flow Computation In Real-Time. Dept. Math. and Comp. Science, Saarland University, Germany\par \par Hinterberger, W, Scherzer, O, Schn\'f6rr, C and Weickert, J (2002). Analysis of Optical Flow Models in the Framework of Calculus of Variations. Numer. Funct. Anal. Optimiz. 23 69?89\par \par Bruhn, A, Weickert, J and Schn\'f6rr, C (2002). Combining the Advantages of Local and Global Optic Flow Methods. Pattern Recognition, Proc. 24th DAGM Symposium. Springer, Z\'fcrich, Switzerland. 2449 454?462\par \par Bruhn, A, Jakob, T, Fischer, M, Kohlberger, T, Weickert, J, Br\'fcning, U and Schn\'f6rr, C (2002). Designing 3?D Nonlinear Diffusion Filters for High Performance Cluster Computing. Pattern Recognition, Proc. 24th DAGM Symposium. Springer, Z\'fcrich, Switzerland. 2449 290?297\par \par Cremers, D, Tischh\'e4user, F, Weickert, J and Schn\'f6rr, C (2002). Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford?Shah functional. Int. J. Computer Vision. 50 295?313\par \par Cremers, D, Schn\'f6rr, C and Weickert, J (2001). Diffusion?Snakes: Combining Statistical Shape Knowledge and Image Information in a Variational Framework. IEEE First Workshop on Variational and Level Set Methods in Computer Vision. IEEE Comp. Soc., Vancouver, Canada. 237?244\par \par Cremers, D, Schn\'f6rr, C, Weickert, J and Schellewald, C (2000). Diffusion Snakes Using Statistical Shape Knowledge. Proc. Algebraic Frames for the Perception-Action Cycle. Springer, Kiel. 1888 164?174\par \par Cremers, D, Schn\'f6rr, C, Weickert, J and Schellewald, C (2000). Learning Translation Invariant Shape Knowledge for Steering Diffusion-Snakes. 3rd Workshop on Dynamic Perception. Akad. Verlagsges., Berlin, Germany. 9 117?122\par \par }