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- W2111559961 abstract "Second-order priors on the smoothness of 3D surfaces are a better model of typical scenes than first-order priors. However, stereo reconstruction using global inference algorithms, such as graph-cuts, has not been able to incorporate second-order priors because the triple cliques needed to express them yield intractable (non-submodular) optimization problems. This paper shows that inference with triple cliques can be effectively optimized. Our optimization strategy is a development of recent extensions to a-expansion, based on the QPBO algorithm [5, 14, 26]. The strategy is to repeatedly merge proposal depth maps using a novel extension of QPBO. Proposal depth maps can come from any source, for example fronto-parallel planes as in a-expansion, or indeed any existing stereo algorithm, with arbitrary parameter settings. Experimental results demonstrate the usefulness of the second-order prior and the efficacy of our optimization framework. An implementation of our stereo framework is available online [34]." @default.
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- W2111559961 date "2008-06-01" @default.
- W2111559961 modified "2023-09-25" @default.
- W2111559961 title "Global stereo reconstruction under second order smoothness priors" @default.
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- W2111559961 doi "https://doi.org/10.1109/cvpr.2008.4587672" @default.
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