70 search results - page 3 / 14 » Stereo Matching Using Belief Propagation |
111
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ICIAP
2007
ACM
15 years 1 months ago
2007
ACM
The paper deals with the design and implementation of a stereo algorithm. Disparity map is formulated as a Markov Random Field with a new smoothness constraint depending not only ...
ESTIMEDIA
2008
Springer
15 years 1 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...
150
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ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
Recent stereo algorithms have achieved impressive results by modelling the disparity image as a Markov Random Field (MRF). An important component of an MRF-based approach is the i...
134
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CVPR
2005
IEEE
15 years 1 months ago
2005
IEEE
We address the normal reconstruction problem by photometric stereo using a uniform and dense set of photometric images captured at fixed viewpoint. Our method is robust to spurio...
ICMCS
2010
IEEE
15 years 21 days ago
2010
IEEE
In this paper, we propose a high-quality multi-view depth generation method using multiple color and depth cameras. After we capture low-resolution depth maps by three TOF cameras...