Abstract
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.
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Brox, T., Weickert, J. (2002). Nonlinear Matrix Diffusion for Optic Flow Estimation. In: Van Gool, L. (eds) Pattern Recognition. DAGM 2002. Lecture Notes in Computer Science, vol 2449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45783-6_54
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DOI: https://doi.org/10.1007/3-540-45783-6_54
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