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Correspondence and segmentation of multiple rigid motions via epipolar geometry

This paper presents a new approach to matching and segmenting multiple rigid motions using epipolar constraint. Epipolar geometry underlying the motion images are first recovered, and the epipolar equations are used to reduce search for correspondence from 2-dimensional to 1-dimensional, thus resolving the "aperture problem". Segmentation of images into different motions is simultaneous. Experimental results show that this approach is effective and efficient.