Source:http://linkedlifedata.com/resource/pubmed/id/12576103
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
1
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| pubmed:dateCreated |
2003-2-10
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| pubmed:abstractText |
It has been known that the visual system can detect more than one disparity and/or motion direction at the same region in the image. These multiple (or transparent) surfaces can be perceived when, for example, we are looking scenes through a glass. However, many conventional models cannot deal with these multiple surfaces. The present paper investigates the neural encoding and decoding of multiple disparities with the binocular energy model, which is known as a biologically plausible model. Based on the analysis of the response of the energy model to multiple disparities, the present paper proposes a stereo model that can detect disparities of two overlapping surfaces.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
IM
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| pubmed:status |
MEDLINE
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| pubmed:month |
Jan
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| pubmed:issn |
0893-6080
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| pubmed:author | |
| pubmed:issnType |
Print
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| pubmed:volume |
16
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
25-37
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| pubmed:meshHeading | |
| pubmed:year |
2003
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| pubmed:articleTitle |
Computational model for neural representation of multiple disparities.
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| pubmed:affiliation |
Graduate School of Information Systems, University of Electro-Communications, Chofu, 182-8585, Tokyo, Japan. watanabe@csse.muroran-it.ac.jp
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| pubmed:publicationType |
Journal Article
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