May 2008
Volume 8, Issue 6
Vision Sciences Society Annual Meeting Abstract  |   May 2008
Brightness, darkness and the perception of surface material
Author Affiliations
  • Tony Vladusich
    Department of Cognitive and Neural Systems, Boston University, and Center of Excellence for Learning in Education, Science and Technology, Boston University
Journal of Vision May 2008, Vol.8, 292. doi:
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      Tony Vladusich; Brightness, darkness and the perception of surface material. Journal of Vision 2008;8(6):292.

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      © ARVO (1962-2015); The Authors (2016-present)

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A recent computational model of achromatic color perception proposes that gray shades are encoded in a two-dimensional space formed by brightness and darkness dimensions (Vladusich et al., 2007, PloS Comp Biol, 3: e179). This model predicts that achromatic colors should depend on higher-order image statistics, such as the variance, skewness and kurtosis of the luminance values in a scene. I provide perceptual evidence in support of this prediction and link the properties of the model to a recent demonstration that such image statistics play a key role in the perception of matte and glossy surface material (Motoyoshi et al., 2007, Nature, 447: 206–209). The model also makes the testable prediction that neural ON and OFF channels should provide inputs to a two-dimensional spatial map of achromatic colors analogous to the hue maps described recently in primate extra-striate cortex (Conway et al., 2007, Neuron, 56: 560–573).

Vladusich, T. (2008). Brightness, darkness and the perception of surface material [Abstract]. Journal of Vision, 8(6):292, 292a,, doi:10.1167/8.6.292. [CrossRef]
 Supported in part by the National Science Foundation (NSF SBE-0354378).

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