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Surface gloss and color perception of 3D objects

Published online by Cambridge University Press:  03 July 2008

BEI XIAO*
Affiliation:
Department of Neuroscience, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
DAVID H. BRAINARD
Affiliation:
Department of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania
*
Address correspondence and reprint requests to: Bei Xiao, Department of Neuroscience, School of Medicine, University of Pennsylvania, Suite 330C, 3401 Walnut Street, Philadelphia, PA 19104. E-mail: [email protected]

Abstract

Two experiments explore the color perception of objects in complex scenes. The first experiment examines the color perception of objects across variation in surface gloss. Observers adjusted the color appearance of a matte sphere to match that of a test sphere. Across conditions we varied the body color and glossiness of the test sphere. The data indicate that observers do not simply match the average light reflected from the test. Indeed, the visual system compensates for the physical effect of varying the gloss, so that appearance is stabilized relative to what is predicted by the spatial average. The second experiment examines how people perceive color across locations on an object. We replaced the test sphere with a soccer ball that had one of its hexagonal faces colored. Observers were asked to adjust the match sphere have the same color appearance as this test patch. The test patch could be located at either an upper or lower location on the soccer ball. In addition, we varied the surface gloss of the entire soccer ball (including the test patch). The data show that there is an effect of test patch location on observers' color matching, but this effect is small compared to the physical change in the average light reflected from the test patch across the two locations. In addition, the effect of glossy highlights on the color appearance of the test patch was consistent with the results from Experiment 1.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2008

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