Surface segmentation based on the luminance and color statistics of natural scenes |
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Authors: | Fine Ione MacLeod Donald I A Boynton Geoffrey M |
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Affiliation: | Department of Psychology, Box 0109, 9500 Gilman Drive, University of California, San Diego, San Diego, California 92093-0109, USA. fine@salk.edu |
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Abstract: | The luminance and color of surfaces in natural scenes are relatively independent under certain linear transformations, with the luminance of a surface providing little information about the color of that surface, and vice versa. However, differences in luminance between two locations in a natural scene remain strongly associated with differences in color. We used the statistics of the spatiochromatic structure of natural scenes as the priors for a Bayesian model that decides whether or not two points within an image fall on the same surface. This model provides a biologically plausible algorithm for surface segmentation that models observer segmentations well. |
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