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 rst recovered, and the epipolar equations are used to reduce search for correspondence from 2dimensional to 1-dimensional, thus resolving the \aperture problem". Segmentation of image into dierent motions is simultaneous. Experimental results show that this approach is eective and ecient. 1 Introduction Motion has been one of the main research topics in computer vision [8]. Traditionally, people have divided the motion problem into correspondence and structurefrom -motion [16]. Actually, however, there is another problem, that is, segmentation of motion images into dierent rigid objects. Segmentation is very important itself, because in many real world tasks like target following segmentation is a precondition. Also, from a computational point of view, it has to be solved in the case of multiple motions for both correct..