AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
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An algorithm is presented for finding the most probableimage motion between two images from fuzzy point correspondences.In fuzzy correspondence a point in one imageis assigned to a region in the other image. Such a region canbe line (aperture effect) or a convex polygon. Noise and outliersare always present, and points may belong to differentmotions. The presented algorithm, which uses linear programming,recovers the motion parameters and performsoutlier rejection and motion-segmentation at the same time.The linear program computes the global optimum without aneed for initial guess.