Learning Bayesian priors for depth perception
نویسندگان
چکیده
منابع مشابه
Learning Bayesian priors for depth perception.
How the visual system learns the statistical regularities (e.g., symmetry) needed to interpret pictorial cues to depth is one of the outstanding questions in perceptual science. We test the hypothesis that the visual system can adapt its model of the statistics of planar figures for estimating three-dimensional surface orientation. In particular, we test whether subjects, when placed in an envi...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2007
ISSN: 1534-7362
DOI: 10.1167/7.8.13