In this paper we present a method for nonlinear diffusion of matrix-valued data. We adapt this technique to the well-known linear structure tensor in order to develop a new nonlinear structure tensor. It is then used to improve the optic flow estimation methods of Lucas and Kanade and its spatio-temporal variant of Bigün et al. Our experiments show that the nonlinear structure tensor leads to a better preservation of discontinuities in the optic flow field. © Springer-Verlag Berlin Heidelberg 2002.
CITATION STYLE
Brox, T., & Weickert, J. (2002). Nonlinear matrix diffusion for optic flow estimation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2449 LNCS, pp. 446–453). Springer Verlag. https://doi.org/10.1007/3-540-45783-6_54
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