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A framework for the robust estimation of optical flow

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2 Author(s)
M. J. Black ; Dept. of Comput. Sci., Toronto Univ., Ont., Canada ; P. Anandan

The authors consider the problem of robustly estimating optical flow from a pair of images using a new framework based on robust estimation which addresses violations of the brightness constancy and spatial smoothness assumptions. They also show the relationship between the robust estimation framework and line-process approaches for coping with spatial discontinuities. In doing so, the notion of a line process is generalized to that of an outlier process that can account for violations in both the brightness and smoothness assumptions. A graduated non-convexity algorithm is presented for recovering optical flow and motion discontinuities. The performance of the robust formulation is demonstrated on both synthetic data and natural images

Published in:

Computer Vision, 1993. Proceedings., Fourth International Conference on

Date of Conference:

11-14 May 1993