Comparison of Bayesian and empirical ranking approaches to visual perception
Authors:
- R. Beau LottoRLR. Beau Lotto
- Dale PurvesDPDale Purves
- 1 August 2006
- journal article
- research article
- Published by Elsevier in Journal of Theoretical Biology
- Vol. 241 (4) , 866-875
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Spectral statistics in natural scenes predict hue, saturation, and brightnessProceedings of the National Academy of Sciences, 2006
- The Bayesian brain: the role of uncertainty in neural coding and computationTrends in Neurosciences, 2004
- Size Contrast and Assimilation Explained by the Statistics of Natural Scene GeometryJournal of Cognitive Neuroscience, 2004
- Illusions, perception and BayesNature Neuroscience, 2002
- Motion illusions as optimal perceptsNature Neuroscience, 2002
- Bayesian contour integrationPerception & Psychophysics, 2001
- Bayesian color constancyJournal of the Optical Society of America A, 1997
- The generic viewpoint assumption in a framework for visual perceptionNature, 1994
- Shape from texture: Ideal observers and human psychophysicsVision Research, 1993
- LII. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, F. R. S. communicated by Mr. Price, in a letter to John Canton, A. M. F. R. SPhilosophical Transactions of the Royal Society of London, 1763