Bayesian model of human color constancy

Journal of Vision

Volumn 6, Issue 11, 2006, Pages 1267-1281

  Brainard, David H ^a   Longère, Philippe ^b   Delahunt, Peter B ^c   Freeman, William T ^d   Kraft, James M ^e   Xiao, Bei ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b Neion Graphics ^*  (France)

^c Posit Science Corporation   (United States)

^d USA   (United States)

^e UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Bayesian algorithm; Color constancy; Computational neuroscience; Illuminants; Psychophysical data

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; CLUSTER ANALYSIS; COLOR DISCRIMINATION; COLOR VISION; COLORIMETRY; CONTROLLED STUDY; ILLUMINATION; LINEAR SYSTEM; MATHEMATICAL COMPUTING; MULTIVARIATE ANALYSIS; NORMAL DISTRIBUTION; PARAMETRIC TEST; PROBABILITY; PSYCHOPHYSICS; QUANTITATIVE ANALYSIS; SPECTRAL SENSITIVITY;

ALGORITHMS; BAYES THEOREM; COLOR; COLOR PERCEPTION; HUMANS; LIGHT; MODELS, BIOLOGICAL; PSYCHOPHYSICS;

EID: 33751020600     PISSN: 15347362     EISSN: 15347362     Source Type: Journal    
DOI: 10.1167/6.11.10     Document Type: Article

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