48 search results - page 4 / 10 » 3D augmented Markov random field for object recognition |
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
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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...
RECOMB
2005
Springer
14 years 8 months ago
2005
Springer
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
JCB
2006
13 years 7 months ago
2006
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...