From co-saliency to co-segmentation: An efficient and fully unsupervised energy minimization model

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

Volumn , Issue , 2011, Pages 2129-2136

  Chang, Kai Yueh ^a,b   Liu, Tyng Luh ^a   Lai, Shang Hong ^b  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^b NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC METHODS; PATTERN RECOGNITION; STRUCTURAL FRAMES;

BENCHMARK DATASETS; CO SEGMENTATIONS; ENERGY FUNCTIONS; ENERGY MINIMIZATION; MRF OPTIMIZATIONS; OPTIMIZATION FRAMEWORK; SUBSTANTIAL VARIATIONS; UNSUPERVISED ALGORITHMS;

IMAGE SEGMENTATION;

EID: 80052910219     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995415     Document Type: Conference Paper

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