Document Detail


Visual motion and the perception of surface material.
MedLine Citation:
PMID:  22119529     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Many critical perceptual judgments, from telling whether fruit is ripe to determining whether the ground is slippery, involve estimating the material properties of surfaces. Very little is known about how the brain recognizes materials, even though the problem is likely as important for survival as navigating or recognizing objects. Though previous research has focused nearly exclusively on the properties of static images, recent evidence suggests that motion may affect the appearance of surface material. However, what kind of information motion conveys and how this information may be used by the brain is still unknown. Here, we identify three motion cues that the brain could rely on to distinguish between matte and shiny surfaces. We show that these motion measurements can override static cues, leading to dramatic changes in perceived material depending on the image motion characteristics. A classifier algorithm based on these cues correctly predicts both successes and some striking failures of human material perception. Together these results reveal a previously unknown use for optic flow in the perception of surface material properties.
Authors:
Katja Doerschner; Roland W Fleming; Ozgur Yilmaz; Paul R Schrater; Bruce Hartung; Daniel Kersten
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2011-11-23
Journal Detail:
Title:  Current biology : CB     Volume:  21     ISSN:  1879-0445     ISO Abbreviation:  Curr. Biol.     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2011-12-13     Completed Date:  2012-04-09     Revised Date:  2013-06-27    
Medline Journal Info:
Nlm Unique ID:  9107782     Medline TA:  Curr Biol     Country:  England    
Other Details:
Languages:  eng     Pagination:  2010-6     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Ltd. All rights reserved.
Affiliation:
Department of Psychology, Bilkent University, 06800 Ankara, Turkey. katja@bilkent.edu.tr
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Cues*
Humans
Models, Theoretical*
Motion Perception / physiology*
Optic Flow / physiology*
Pattern Recognition, Visual / physiology*
Surface Properties
Grant Support
ID/Acronym/Agency:
R01 EY015261/EY/NEI NIH HHS; R01 EY015261-06/EY/NEI NIH HHS
Comments/Corrections

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