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Journal of Vision -Bayesian model of the staircase Gelb effect, by Al... http://www.journalofvision.org/8/6/283/ 1 of 2 7/2/08 12:32 PM
 

Summary: Journal of Vision - Bayesian model of the staircase Gelb effect, by Al... http://www.journalofvision.org/8/6/283/
1 of 2 7/2/08 12:32 PM
Volume 8, Number 6, Abstract 283, Page 283a doi:10.1167/8.6.283 http://journalofvision.org/8/6/283/ ISSN 1534-7362
Bayesian model of the staircase Gelb effect
Sarah R. Allred Department of Psychology, University of Pennsylvania
Lynn J. Lohnas Department of Neuroscience, University of Pennsylvania
David H. Brainard Department of Psychology, University of Pennsylvania
Abstract
Introduction: For perceived lightness to be a useful guide to object identity, it should
correlate with physical surface reflectance across changes in viewing conditions. Most
vision scientists agree that lightness perception involves the resolution of ambiguity
inherent in the retinal image. There is less consensus about how to frame models of this
process. We have found it clarifying to develop ideal observer models. These models
estimate illuminant intensity and surface reflectance from the image data and link the
estimates to psychophysical performance. Here we show that such a model can account
for the staircase Gelb effect (Cataliotti & Gilchrist, 1995). This effect has been presented
as a challenge for ideal observer models, because simple variants of these models to not
predict it.
Methods: We simulated a world with a single row of eleven pixels. The retinal image was
obtained as the pixel-by-pixel product of illuminant intensity and surface reflectance. The

  

Source: Allred, Sarah - Department of Psychology, University of Pennsylvania

 

Collections: Biology and Medicine