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Stereo Feature Matching in Disparity Space

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dc.contributor.author Braunegg, David J. en_US
dc.date.accessioned 2004-10-04T14:35:44Z
dc.date.available 2004-10-04T14:35:44Z
dc.date.issued 1989-09-01 en_US
dc.identifier.other AIM-1184 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/6008
dc.description.abstract 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. en_US
dc.description.provenance Made available in DSpace on 2004-10-04T14:35:44Z (GMT). No. of bitstreams: 2 AIM-1184.ps: 2933443 bytes, checksum: ae9eebd90c898b1b326c15918093f257 (MD5) AIM-1184.pdf: 1118914 bytes, checksum: 05d23f8474ee32940b6dd88f2f192340 (MD5) Previous issue date: 1989-09-01 en
dc.format.extent 20 p. en_US
dc.format.extent 2933443 bytes
dc.format.extent 1118914 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries AIM-1184 en_US
dc.title Stereo Feature Matching in Disparity Space en_US

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