Stereo Feature Matching in Disparity Space

dc.creator	Braunegg, David J.
dc.date	2004-10-04T14:35:44Z
dc.date	2004-10-04T14:35:44Z
dc.date	1989-09-01
dc.date.accessioned	2013-10-09T02:42:23Z
dc.date.available	2013-10-09T02:42:23Z
dc.date.issued	2013-10-09
dc.identifier	AIM-1184
dc.identifier	http://hdl.handle.net/1721.1/6008
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	This paper describes a new method for matching, validating, and disambiguating features for stereo vision. It is based on the Marr-Poggio- Grimson stereo matching algorithm which uses zero-crossing contours in difference-of-Gaussian filtered images as features. The matched contours are represented in disparity space, which makes the information needed for matched contour validation and disambiguation easily accessible. The use of disparity space also makes the algorithm conceptually cleaner than previous implementations of the Marr-Poggio-Grimson algorithm and yields a more efficient matching process.
dc.format	20 p.
dc.format	2933443 bytes
dc.format	1118914 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AIM-1184
dc.title	Stereo Feature Matching in Disparity Space

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