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Motion Estimation with Non-Local Total Variation Regularization

10 years 10 months ago
Motion Estimation with Non-Local Total Variation Regularization
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principles of grouping we propose to incorporate a low level image segmentation process in order to tackle these problems. Our new motion estimation algorithm is based on non-local total variation regularization which allows us to integrate the low level image segmentation process in a uni?ed variational framework. Numerical results on the Middlebury optical flow benchmark data set demonstrate that we can cope with the aforementioned problems.
Manuel Werlberger, Thomas Pock, Horst Bischof
Added 22 May 2010
Updated 22 May 2010
Type Conference
Year 2010
Where CVPR
Authors Manuel Werlberger, Thomas Pock, Horst Bischof
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