Perceiving the shape and material properties of 3D surfaces |
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| Institution: | 1. School of Psychology, University of Sydney, Sydney 2006, Australia;1. Institute of Health, School of Health Sciences, HES-SO Valais-Wallis, Sion, Switzerland;2. The Sense Innovation & Research Center, Sion and Lausanne, Switzerland;3. Department of Clinical Neuroscience, Centre Hospitalier Universitaire Vaudois (CHUV), MySpace Lab, Lausanne, Switzerland;4. Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany;5. Cognition, Motion and Neuroscience, Italian Institute of Technology, Genoa, Italy;1. Centre for the Advanced Study of Collective Behaviour, University of Konstanz, 78464, Konstanz, Germany;2. Max-Planck Institute of Animal Behavior, 78315, Radolfzell, Germany;1. Neuroscience Institute and Psychology Department, Carnegie Mellon University, Pittsburgh, PA, USA;2. Department of Ophthalmology, The University of Pittsburgh, Pittsburgh, PA, USA;1. Yale University, New Haven, CT 06520, USA;1. Centre for Baby Science, Doshisha University, 4-1-1 Kizugawadai, Kizugawa, Kyoto 619-0295, Japan;2. Centre for Brain and Cognitive Development, Birkbeck, University of London, Malet Street, London WC1E 7HX, UK;3. Research Centre for Child Mental Development, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka 431-3192, Japan;1. Institute of Cognitive Neuroscience, University College London, London WC1N 3AZ, UK;2. Computational Neuroscience Laboratories, ATR Institute International, 619-0288 Kyoto, Japan |
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| Abstract: | Our visual experience of the world relies on the interaction of light with the different substances, surfaces, and objects in our environment. These optical interactions generate images that contain a conflated mixture of different scene variables, which our visual system must somehow disentangle to extract information about the shape and material properties of the world. Such problems have historically been considered to be ill-posed, but recent work suggests that there are complex patterns of covariation in light that co-specify the 3D shape and material properties of surfaces. This work provides new insights into how the visual system acquired the ability to solve problems that have historically been considered intractable. |
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