Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection

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

Volumn , Issue , 2008, Pages

  Wu, Bo ^a   Nevatia, Ram ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER VISION; FEATURE EXTRACTION; FORECASTING; IMAGE PROCESSING; LEARNING SYSTEMS; OPTIMIZATION; PATTERN RECOGNITION;

COMPUTATIONAL COSTS; HETEROGENEOUS FEATURES; IMAGE FEATURES; LOCAL FEATURES; OBJECT CLASSES; OBJECT DETECTION; STATE-OF-THE-ART METHODS; WEAK CLASSIFIERS;

OBJECT RECOGNITION;

EID: 51949112689     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587749     Document Type: Conference Paper

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