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» Graph Cut Based Optimization for MRFs with Truncated Convex ...
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99
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CVPR
2007
IEEE
16 years 3 months ago
Graph Cut Based Optimization for MRFs with Truncated Convex Priors
Optimization with graph cuts became very popular in recent years. Progress in problems such as stereo correspondence, image segmentation, etc., can be attributed, in part, to the ...
Olga Veksler
98
Voted
EMMCVPR
2009
Springer
15 years 7 months ago
Multi-label Moves for MRFs with Truncated Convex Priors
Optimization with graph cuts became very popular in recent years. As more applications rely on graph cuts, different energy functions are being employed. Recent evaluation of optim...
Olga Veksler
125
Voted
ECCV
2008
Springer
16 years 3 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal