A Bayesian model for perception of surfa
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Nobuhiko Asakura; Toshio Inui
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Article
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1999
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John Wiley and Sons
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English
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We propose a computational model for the perception of surfaces from binocular disparity within a Bayesian framework. The model attempts to reconstruct the perceived surfaces from their differential structure, which is concurrently estimated from initial data of given binocular disparity. To achieve