40 search results - page 1 / 8 » Efficient Belief Propagation for Early Vision |
109
Voted
CVPR
2004
IEEE
15 years 11 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...
78
Voted
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
A mechanism for efficient mean-shift belief propagation (MSBP) is introduced. The novelty of our work is to use mean-shift to perform nonparametric mode-seeking on belief surfaces...
88
Voted
CVPR
2007
IEEE
15 years 11 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....
ACCV
2010
Springer
14 years 4 months ago
2010
Springer
Recent work on early vision such as image segmentation, image restoration, stereo matching, and optical flow models these problems using Markov Random Fields. Although this formula...
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
An efficient Nonparametric Belief Propagation (NBP) algorithm is developed in this paper. While the recently proposed nonparametric belief propagation algorithm has wide applicati...