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Seeing ghost solutions in stereo vision

Author: Daphna Weinshall; Massachusetts Institute of Technology. Artificial Intelligence Laboratory.; Whitaker College. Center for Biological Information Processing.
Publisher: Cambridge, Mass. : Massachusetts Institute of Technology, Artificial Intelligence Laboratory, 1988.
Series: A.I. memo, 1073.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
A unique matching is a stated objective of most computational theories of stereo vision. This report describes situations where humans perceive a small number of surfaces carried by non-unique matching of random dot patterns, although a unique solution exists and is observed unambiguously in the perception of isolated features. We find both cases where non-unique matchings compete and suppress each other and cases  Read more...
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Document Type: Book
All Authors / Contributors: Daphna Weinshall; Massachusetts Institute of Technology. Artificial Intelligence Laboratory.; Whitaker College. Center for Biological Information Processing.
OCLC Number: 20679671
Notes: Cover title.
"September 1988."
"C.B.I.P. Memo No. 33."
Description: 11 pages : illustrations ; 28 cm.
Series Title: A.I. memo, 1073.
Responsibility: Daphna Weinshall.

Abstract:

A unique matching is a stated objective of most computational theories of stereo vision. This report describes situations where humans perceive a small number of surfaces carried by non-unique matching of random dot patterns, although a unique solution exists and is observed unambiguously in the perception of isolated features. We find both cases where non-unique matchings compete and suppress each other and cases where they are all perceived as transparent surfaces. The circumstances under which each behavior occurs are discussed and a possible explanation is sketched. It appears that matching reduces many false targets to a few, but may still yield multiple solutions in some cases through a (possibly different) process of surface interpolation.

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