Robust real-time pattern matching using bayesian sequential hypothesis testing

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 30, Issue 8, 2008, Pages 1427-1443

  Pele, Ofir ^a   Werman, Michael ^a  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

Author keywords

Bayesian statistics; Composite hypothesis; Finite populations; Hamming distance; Image similarity measures; Image statistics; Pattern detection; Pattern matching; Real time; Sequential hypothesis testing; Template matching

Indexed keywords

BAYESIAN NETWORKS; BOOLEAN FUNCTIONS; HAMMING DISTANCE; LEARNING ALGORITHMS; NEURAL NETWORKS; PATTERN MATCHING; PIXELS; SAMPLING; SEQUENTIAL SWITCHING; STATISTICAL TESTS;

BAYESIAN; BAYESIAN FRAMEWORKS; EXPERIMENTAL RESULTS; FINITE POPULATIONS; HYPOTHESIS TESTING; IMAGE DISTANCE; OPTIMAL SAMPLING; PENTIUM 4; REAL TIME; SAMPLING ALGORITHMS; SEQUENTIAL SAMPLING;

IMAGE MATCHING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SYSTEM; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER SYSTEMS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 46249120156     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.70794     Document Type: Article

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