15 search results - page 1 / 3 » Efficient Belief Propagation for Vision Using Linear Constra... |
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
Belief propagation over pairwise connected Markov Random Fields has become a widely used approach, and has been successfully applied to several important computer vision problems....
CVIU
2008
13 years 4 months ago
2008
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
We introduce a novel framework for automatic detection of repeated patterns in real images. The novelty of our work is to formulate the extraction of an underlying deformed lattice...
JMLR
2006
13 years 4 months ago
2006
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...