Document Detail

Planarity and segmentation in stereoscopic matching.
MedLine Citation:
PMID:  3253679     Owner:  NLM     Status:  MEDLINE    
The matching of stereograms which contain periodic patterns suggests ways in which the stereo correspondence problem may be solved in human vision. The stereograms seem to be segmented by coarse-scale features. Within each segment a set of matches approximating a plane is chosen. In regions with periodic patterns there may be many such planar sets, and the disparity of coarse-scale features seems to guide the choice of a particular set. This emphasis on planarity may reflect the occurrence of correlation-like operations in cortical neurons. An attractive possibility is that segmentation effectively delimits areas of the visual field within which disparities are likely to be slow changing (eg local tangent planes to surfaces) so that the correlation sums evaluated in a segment can give the best estimate of depth. A mechanism of this kind cannot account for all of stereo matching, since not all visual objects are well described by ensembles of planes. But it is likely to be a component of the matching system which is particularly important where images are 'noisy' and averaging is needed to extract reliable disparities.
G Mitchison
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Perception     Volume:  17     ISSN:  0301-0066     ISO Abbreviation:  Perception     Publication Date:  1988  
Date Detail:
Created Date:  1989-08-21     Completed Date:  1989-08-21     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  0372307     Medline TA:  Perception     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  753-82     Citation Subset:  IM    
King's College Research Centre, King's College, University of Cambridge, UK.
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MeSH Terms
Depth Perception* / physiology
Functional Laterality / physiology
Neurons / physiology
Ocular Physiological Phenomena
Optical Illusions / physiology
Time Factors
Visual Cortex / physiology
Visual Fields

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