1427 search results - page 102 / 286 » Markov Random Field Models in Computer Vision |
123
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ECCV
2006
Springer
16 years 3 months ago
2006
Springer
Abstract. We formulate a robust method using Expectation Maximization (EM) to address the problem of dense photometric stereo. Previous approaches using Markov Random Fields (MRF) ...
134
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BMVC
2010
14 years 11 months ago
2010
Markov random field pixel labelling is often used to obtain image segmentations in which each segment or region is labelled according to its attributes such as colour or texture. ...
135
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CVPR
2010
IEEE
15 years 10 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...
190
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ACCV
2010
Springer
14 years 8 months ago
2010
Springer
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...
111
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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. ...