Vision as Bayesian inference: analysis by synthesis?

Trends in Cognitive Sciences

Volumn 10, Issue 7, 2006, Pages 301-308

  Yuille, Alan ^a   Kersten, Daniel ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL STIMULI; BAYESIAN INFERENCES; HUMAN VISION; NATURAL IMAGES;

COGNITIVE SYSTEMS; COMPUTATIONAL COMPLEXITY; COMPUTER VISION; IMAGE ANALYSIS; PROBABILITY DISTRIBUTIONS;

VISION;

ARTICLE; ATTENTION; BAYES THEOREM; COMPUTER MODEL; PSYCHOLOGY; VISION; VISUAL STIMULATION;

ALGORITHMS; BAYES THEOREM; BRAIN; BRAIN MAPPING; FIELD DEPENDENCE-INDEPENDENCE; HUMANS; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; ORIENTATION; PATTERN RECOGNITION, VISUAL; PROBABILITY THEORY; SIGNAL DETECTION (PSYCHOLOGY); SIGNAL DETECTION, PSYCHOLOGICAL; VISION; VISION, OCULAR; VISUAL PATHWAYS;

EID: 33746220445     PISSN: 13646613     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tics.2006.05.002     Document Type: Article

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