Branch-and-bound hypothesis selection for two-view multiple structure and motion segmentation

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Thakoor, Ninad ^a   Gao, Jean ^a  

^a The University of Texas at Arlington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; COMPUTER VISION; FEATURE EXTRACTION; IMAGE PROCESSING; OPTIMIZATION; PATTERN RECOGNITION;

BOUND TECHNIQUE; EFFICIENT SEARCH; EXPLICIT MODELING; LOCAL SAMPLING; MODEL COMPLEXITY; MODEL SELECTION PROBLEM; MODEL SELECTIONS; MOTION SEGMENTATION; OPTIMALITY; OVER CURRENTS; ROBUST MODELING; SOLUTION SPACES;

FAULT DETECTION;

EID: 51949108040     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587469     Document Type: Conference Paper

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