195 search results - page 36 / 39 » Fusion Moves for Markov Random Field Optimization |
140
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CVPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
140
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MICCAI
2010
Springer
15 years 2 months ago
2010
Springer
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
163
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MICCAI
2010
Springer
15 years 2 months ago
2010
Springer
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
129
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ICASSP
2009
IEEE
15 years 2 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...
136
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TIP
2010
14 years 11 months ago
2010
Abstract--Image segmentation plays an important role in computer vision and image analysis. In this paper, image segmentation is formulated as a labeling problem under a probabilit...