606 search results - page 111 / 122 » Combinatorial Markov Random Fields |
102
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ICASSP
2009
IEEE
14 years 10 months ago
2009
IEEE
Belief propagation is a popular global optimization technique for many computer vision problems. However, it requires extensive computation due to the iterative message passing op...
128
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CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
Maximum a posteriori (MAP) inference in Markov Random Fields (MRFs) is an NP-hard problem, and thus research has focussed on either finding efficiently solvable subclasses (e.g. t...
132
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CVPR
2011
IEEE
14 years 8 months ago
2011
IEEE
In this paper, we propose a novel framework to jointly recover the illumination environment and an estimate of the cast shadows in a scene from a single image, given coarse 3D geo...
117
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ACCV
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
105
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ACCV
2010
Springer
14 years 8 months ago
2010
Springer
Multi-view range image integration focuses on producing a single reasonable 3D point cloud from multiple 2.5D range images for the reconstruction of a watertight manifold surface. ...