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Stereo matching using higher-order graph cuts

Xie, Yiran


Stereo matching is one of the fundamental tasks in early vision. Unlike human brain recognizes objects and estimates the depth easily, it is difficult to design algorithms that perform well on a computer due to variations of illumination, occlusion or textureless. Like most of the early vision problems, stereo matching can be formulated as an energy minimization problem in which the optimal depth is the one with the lowest energy. And graph cuts is one of the efficient and effective...[Show more]

CollectionsOpen Access Theses
Type: Thesis (MPhil)


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