Efficient computation of the most probable motion from fuzzy correspondences
نویسندگان
چکیده
An algorithm is presented for finding the most probable image motion between two images from fuzzy point correspondences. In fuzzy correspondence a point in one image is assigned to a region in the other image. Such a region can be line (aperture effect) or a convex polygon. Noise and outliers are always present, and points may belong to different motions. The presented algorithm, which uses linear programming, recovers the motion parameters and performs outlier rejection and motion-segmentation at the same time. The linear program computes the global optimum without a need for initial guess.
منابع مشابه
Eecient Computation of the Most Probable Motion from Fuzzy Correspondences
An algorithm is presented for nding the most probable image motion between two images from fuzzy point correspondences. In fuzzy correspondence a point in one image is assigned to a region in the other image. Such a region can be line (aperture eeect) or a probability matrix. Noise and outliers are always present, and points may come from diierent motions. The presented algorithm, which uses li...
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