Abstract
Motion has been one of the main research topics in computer vision [96]. Traditionally, people have divided the motion problem into correspondence and structure-from-motion [164]. Actually, however, there is another problem, that is, segmentation of motion images into different rigid objects. Segmentation is very important itself, because in many real world tasks like target following segmentation is a precondition, perhaps more frequently required than accurate shape recovery. Also, from a computational point of view, it has to be solved in the case of multiple motions for both correct correspondence and structure-from-motion computation.
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© 1996 Springer Science+Business Media Dordrecht
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Xu, G., Zhang, Z. (1996). Multiple Rigid Motions: Correspondence and Segmentation. In: Epipolar Geometry in Stereo, Motion and Object Recognition. Computational Imaging and Vision, vol 6. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8668-9_7
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DOI: https://doi.org/10.1007/978-94-015-8668-9_7
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4743-4
Online ISBN: 978-94-015-8668-9
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