Title :
Efficient computation of the most probable motion from fuzzy correspondences
Author :
Ben-Ezra, Moshe ; Peleg, Shmuel ; Werman, Michael
Author_Institution :
Inst. of Comput. Sci., Hebrew Univ., Jerusalem, Israel
Abstract :
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
Keywords :
linear programming; motion estimation; parameter estimation; convex polygon; fuzzy correspondences; fuzzy point correspondences; image motion; linear program; most probable image motion; motion parameters; motion-segmentation; outlier rejection; Apertures; Computer science; Computer vision; Equations; Image motion analysis; Iterative algorithms; Motion segmentation; Optical computing; Testing; Uncertainty;
Conference_Titel :
Applications of Computer Vision, 1998. WACV '98. Proceedings., Fourth IEEE Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-8186-8606-5
DOI :
10.1109/ACV.1998.732853
