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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50967

Title: A progressive constraint search approach for disparity matching in stereo vision
Contributors: 國立臺灣海洋大學電機工程學系
Keywords: disparity matching
progressive search
stereo image
disparity map
range finding
Date: 1999-06
Issue Date: 2018-11-02T01:19:04Z
Publisher: Proceedings of the National Science Council -Part A
Abstract: Abstract: This paper presents a novel disparity matching algorithm (called progressive constraint search, PCS)
that emphasizes the use of multiple constraints in such a manner that the required search space at a finer
constraint level is essentially reduced by the matching results obtained at coarser constraint levels. A
dissimilarity measure called the Error function is used to determine whether a template (target) pixel and
a candidate pixel are sufficiently alike to form a matching pair. Progressively, from a coarser level to
a finer level, PCS employs different constraints at each level to update the Error function. This coarseto-
fine strategy effectively enlarges the separation distance J (on the surface of the Error function) between
the correct match and false matches, thereby increasing the matching accuracy. Matched pixels found at
coarser levels can also be used to guide subsequent searching at finer levels. PCS not only utilizes many
constraints to reduce the search space, but also evaluates and verifies a matching pair by thresholding
the value of J. The simplicity of implementation and higher accuracy are the two major advantages of
PCS over other models.
Relation: 23(6) pp.789-798
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50967
Appears in Collections:[電機工程學系] 期刊論文

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