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» Parameter Estimation for MRF Stereo
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CVPR
2005
IEEE
14 years 6 months ago
Parameter Estimation for MRF Stereo
This paper presents a novel approach for estimating parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterior (MAP...
Li Zhang, Steven M. Seitz
PAMI
2007
169views more  PAMI 2007»
13 years 4 months ago
Estimating Optimal Parameters for MRF Stereo from a Single Image Pair
—This paper presents a novel approach for estimating the parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterio...
Li Zhang, Steven M. Seitz
ICIAP
2005
ACM
14 years 4 months ago
Optimal Parameter Estimation for MRF Stereo Matching
Abstract. This paper presents an optimisation technique to select automatically a set of control parameters for a Markov Random Field applied to stereo matching. The method is base...
Riccardo Gherardi, Umberto Castellani, Andrea Fusi...
IVC
2007
121views more  IVC 2007»
13 years 4 months ago
Automatic selection of MRF control parameters by reactive tabu search
This paper presents an optimisation technique to automatically select a set of control parameters for a Markov Random Field. The method is based on the Reactive Tabu Search strate...
Umberto Castellani, Andrea Fusiello, Riccardo Gher...

Book
5396views
15 years 3 months ago
Markov Random Field Modeling in Computer Vision
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...
Stan Z. Li