273 search results - page 2 / 55 » Adaptative Markov Random Fields for Omnidirectional Vision |
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Book
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
ECCV
1994
Springer
13 years 11 months ago
1994
Springer
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
VLSM
2005
Springer
14 years 28 days ago
2005
Springer
We present a computationally efficient segmentationrestoration method, based on a probabilistic formulation, for the joint estimation of the label map (segmentation) and the para...
FSS
2008
13 years 7 months ago
2008
The use of omnidirectional vision has increased during these past years. It provides a very large field of view. Nevertheless, omnidirectional images contain significant radial di...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...