Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4035694 | Vision Research | 2007 | 14 Pages |
Abstract
We introduce two new low-level computational models of brightness perception that account for a wide range of brightness illusions, including many variations on White’s Effect [Perception, 8, 1979, 413]. Our models extend Blakeslee and McCourt’s ODOG model [Vision Research, 39, 1999, 4361], which combines multiscale oriented difference-of-Gaussian filters and response normalization. We extend the response normalization to be more neurally plausible by constraining normalization to nearby receptive fields (models 1 and 2) and spatial frequencies (model 2), and show that both of these changes increase the effectiveness of the models at predicting brightness illusions.
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Authors
Alan E. Robinson, Paul S. Hammon, Virginia R. de Sa,