Application of the mean field methods to MRF optimization in computer vision

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2012, Pages 1680-1687

  Saito, Masaki ^a   Okatani, Takayuki ^a   Deguchi, Koichiro ^a  

^a TOHOKU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION PROBLEMS; ENERGY OPTIMIZATION; GLOBAL CONVERGENCE; INTERACTIVE SEGMENTATION; ITERATIVE COMPUTATION; LOOPY BELIEF PROPAGATION; MARKOV RANDOM FIELD; MEAN FIELD; MEAN FIELD METHODS; PRACTICAL PROBLEMS; STEREO MATCHING; VISION COMMUNITIES;

IMAGE SEGMENTATION; ITERATIVE METHODS; MEAN FIELD THEORY;

COMPUTER VISION;

EID: 84866720478     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247862     Document Type: Conference Paper

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