606 search results - page 111 / 122 » Combinatorial Markov Random Fields |
121
Voted
ICASSP
2009
IEEE
15 years 1 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...
151
Voted
CVPR
2010
IEEE
15 years 12 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...
154
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CVPR
2011
IEEE
14 years 10 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...
140
Voted
ACCV
2010
Springer
14 years 10 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...
123
Voted
ACCV
2010
Springer
14 years 10 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. ...