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Type: Journal article
Title: A unified account of perceptual layering and surface appearance in terms of gamut relativity
Author: Vladusich, T.
McDonnell, M.
Citation: PLoS One, 2014; 9(11):e113159-1-e113159-15
Publisher: Public Library of Science (PLoS)
Issue Date: 2014
ISSN: 1932-6203
Editor: Kestler, H.
Statement of
Tony Vladusich, Mark D. McDonnell
Abstract: When we look at the world--or a graphical depiction of the world--we perceive surface materials (e.g. a ceramic black and white checkerboard) independently of variations in illumination (e.g. shading or shadow) and atmospheric media (e.g. clouds or smoke). Such percepts are partly based on the way physical surfaces and media reflect and transmit light and partly on the way the human visual system processes the complex patterns of light reaching the eye. One way to understand how these percepts arise is to assume that the visual system parses patterns of light into layered perceptual representations of surfaces, illumination and atmospheric media, one seen through another. Despite a great deal of previous experimental and modelling work on layered representation, however, a unified computational model of key perceptual demonstrations is still lacking. Here we present the first general computational model of perceptual layering and surface appearance--based on a boarder theoretical framework called gamut relativity--that is consistent with these demonstrations. The model (a) qualitatively explains striking effects of perceptual transparency, figure-ground separation and lightness, (b) quantitatively accounts for the role of stimulus- and task-driven constraints on perceptual matching performance, and (c) unifies two prominent theoretical frameworks for understanding surface appearance. The model thereby provides novel insights into the remarkable capacity of the human visual system to represent and identify surface materials, illumination and atmospheric media, which can be exploited in computer graphics applications.
Keywords: Humans
Color Perception
Contrast Sensitivity
Models, Theoretical
Description: Published November 17, 2014
Rights: Copyright: © 2014 Vladusich, McDonnell. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
DOI: 10.1371/journal.pone.0113159
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Appears in Collections:Aurora harvest 8
Electrical and Electronic Engineering publications

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