Combining feature- and correspondence-based methods for visual object recognition

Neural Computation

Volumn 21, Issue 7, 2009, Pages 1952-1989

  Westphal, Günter ^a   Würtz, Rolf P ^b  

^a Mobile Vision Systems   (Germany)

^b RUHR UNIVERSITY BOCHUM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; HUMAN; PATTERN RECOGNITION; PHOTOSTIMULATION; PHYSIOLOGY; REACTION TIME; RECOGNITION; TIME; VISUAL SYSTEM;

ALGORITHMS; COMPUTER GRAPHICS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; REACTION TIME; RECOGNITION (PSYCHOLOGY); TIME FACTORS; VISUAL PATHWAYS;

EID: 68349132127     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2009.12-07-675     Document Type: Letter

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