Fast Multi-labelling for Stereo Matching
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Zhang, Yuhang
Hartley, Richard
Wang, Lei
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Springer
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We describe a new fast algorithm for multi-labelling problems. In general, a multi-labelling problem is NP-hard. Widely used algorithms like α-expansion can reach a suboptimal result in a time linear in the number of the labels. In this paper, we propose
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Proceedings of the European Conference on Computer Vision (ECCV 2010)
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2037-12-31
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