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      Visual Perception and the Statistical Properties of Natural Scenes

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      Annual Review of Psychology
      Annual Reviews

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          Abstract

          The environments in which we live and the tasks we must perform to survive and reproduce have shaped the design of our perceptual systems through evolution and experience. Therefore, direct measurement of the statistical regularities in natural environments (scenes) has great potential value for advancing our understanding of visual perception. This review begins with a general discussion of the natural scene statistics approach, of the different kinds of statistics that can be measured, and of some existing measurement techniques. This is followed by a summary of the natural scene statistics measured over the past 20 years. Finally, there is a summary of the hypotheses, models, and experiments that have emerged from the analysis of natural scene statistics.

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          Sparse coding with an overcomplete basis set: A strategy employed by V1?

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            Some informational aspects of visual perception.

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              Object perception as Bayesian inference.

              We perceive the shapes and material properties of objects quickly and reliably despite the complexity and objective ambiguities of natural images. Typical images are highly complex because they consist of many objects embedded in background clutter. Moreover, the image features of an object are extremely variable and ambiguous owing to the effects of projection, occlusion, background clutter, and illumination. The very success of everyday vision implies neural mechanisms, yet to be understood, that discount irrelevant information and organize ambiguous or noisy local image features into objects and surfaces. Recent work in Bayesian theories of visual perception has shown how complexity may be managed and ambiguity resolved through the task-dependent, probabilistic integration of prior object knowledge with image features.
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                Author and article information

                Journal
                Annual Review of Psychology
                Annu. Rev. Psychol.
                Annual Reviews
                0066-4308
                1545-2085
                January 01 2008
                January 01 2008
                : 59
                : 1
                : 167-192
                Affiliations
                [1 ]Center for Perceptual Systems and Department of Psychology, University of Texas at Austin, Austin, Texas 78712-1062;
                Article
                10.1146/annurev.psych.58.110405.085632
                17705683
                51f264b3-7958-4e6b-a9a4-39104762b5f9
                © 2008
                History

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