Document Detail


Does symmetry structure facilitate the depth separation between stereoscopically overlapped dot planes?
MedLine Citation:
PMID:  10070207     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In the present study, we dealt with the problem of whether a symmetrical structure can influence the discrimination of the depth separation of overlapped dot planes. We investigated this problem with the use of both direct and indirect methods. In the direct method, we presented three or two overlapped dot planes consisting of symmetrical or random dots. The subjects were required to discriminate three overlapped from two overlapped planes. In the indirect method, the subjects were required to discriminate the depth positions of a target dot (or a pair of dots) that disappeared during stimulus presentation. Our results, obtained in three experiments, showed that the discrimination performance improved and reached a perfect level in the direct method and a modest plateau level in the indirect method with increasing relative disparity between the two outer planes, irrespective of whether the dot pattern had a symmetrical structure or not. These results suggest that a detection process for symmetry structure on a two-dimensional plane in three-dimensional space will not have a direct or an indirect connection (e.g., via a feedback loop) to a process involved in the depth separation.
Authors:
A Ishiguchi; R Yakushijin
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Perception & psychophysics     Volume:  61     ISSN:  0031-5117     ISO Abbreviation:  Percept Psychophys     Publication Date:  1999 Jan 
Date Detail:
Created Date:  1999-04-01     Completed Date:  1999-04-01     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0200445     Medline TA:  Percept Psychophys     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  151-60     Citation Subset:  IM    
Affiliation:
Department of Human and Social Sciences, Ochanomizu University, Tokyo, Japan. akira1@li.ocha.ac.jp
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MeSH Terms
Descriptor/Qualifier:
Adult
Attention*
Depth Perception*
Discrimination Learning
Female
Humans
Male
Orientation
Pattern Recognition, Visual*
Psychophysics
Vision Disparity

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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