273 search results - page 16 / 55 » Adaptative Markov Random Fields for Omnidirectional Vision |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
ESTIMEDIA
2008
Springer
13 years 9 months ago
2008
Springer
Markov random field models provide a robust formulation of low-level vision problems. Among the problems, stereo vision remains the most investigated field. The belief propagation...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Recently, there has been increasing interests in applying aspect models (e.g., PLSA and LDA) in image segmentation. However, these models ignore spatial relationships amo...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
In this paper, a Random Field Topic (RFT) model is proposed for semantic region analysis from motions of objects in crowded scenes. Different from existing approaches of learning ...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...