Fast multi-labelling in early vision
Multi-labelling algorithms are widely used in solving early vision problems. These early vision problems, which include image segmentation, stereo correspondence estimation, etc., are of fundamental importance in computer vision research and applications. Solving a multi-label problem is in general NP-hard. Despite the notable success in the development of multi-labelling algorithms in recent years, heavy computation is still required especially when the size of the problem becomes large,...[Show more]
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