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• W1915301860 abstract "This paper proposes a simple method for estimating dense and accurate optical flow field. It revitalizes an early idea of piecewise parametric flow model. A key innovation is that, we fit a flow field piecewise to a variety of parametric models, where the domain of each piece (i.e., each piece's shape, position and size) is determined adaptively, while at the same time maintaining a global inter-piece flow continuity constraint. We achieve this by a multi-model fitting scheme via energy minimization. Our energy takes into account both the piecewise constant model assumption and the flow field continuity constraint, enabling the proposed method to effectively handle both homogeneous motions and complex motions. The experiments on three public optical flow benchmarks (KITTI, MPI Sintel, and Middlebury) show the superiority of our method compared with the state of the art: it achieves top-tier performances on all the three benchmarks." @default.
• W1915301860 created "2016-06-24" @default.
• W1915301860 creator A5061507436 @default.
• W1915301860 creator A5076804411 @default.
• W1915301860 date "2015-06-01" @default.
• W1915301860 modified "2023-09-26" @default.
• W1915301860 title "Dense, accurate optical flow estimation with piecewise parametric model" @default.
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• W1915301860 doi "https://doi.org/10.1109/cvpr.2015.7298704" @default.
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