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Dense optical flow by iterative local window registration

G. Le Besnerais, F. Champagnat
Office Nat. d’Etudes et de Recherches Aerospatiales, Chatillon, France
In IEEE International Conference on Image Processing 2005 (2005), pp. I-137.

@conference{le2005dense,

   title={Dense optical flow by iterative local window registration},

   author={Le Besnerais, G. and Champagnat, F.},

   booktitle={Image Processing, 2005. ICIP 2005. IEEE International Conference on},

   volume={1},

   isbn={0780391349},

   year={2005},

   organization={IEEE}

}

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We study dense optical flow estimation using iterative registration of local window, also known as iterative Lucas-Kanade (LK) [B. Lucas et al, 1981]. We show that the usual iterative-warping scheme encounters divergence problems and propose a modified scheme with better behavior. It yields good results with a much lower cost than the exact dense LK algorithm, on simulated and real sequences.
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