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The Use of Grouping in Visual Object Recognition.

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dc.contributor.author Jacobs, David W. en_US
dc.date.accessioned 2004-10-20T20:11:19Z
dc.date.available 2004-10-20T20:11:19Z
dc.date.issued 1988-01-01 en_US
dc.identifier.other AITR-1023 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/6967
dc.description.abstract The report describes a recognition system called GROPER, which performs grouping by using distance and relative orientation constraints that estimate the likelihood of different edges in an image coming from the same object. The thesis presents both a theoretical analysis of the grouping problem and a practical implementation of a grouping system. GROPER also uses an indexing module to allow it to make use of knowledge of different objects, any of which might appear in an image. We test GROPER by comparing it to a similar recognition system that does not use grouping. en_US
dc.description.provenance Made available in DSpace on 2004-10-20T20:11:19Z (GMT). No. of bitstreams: 2 AITR-1023.ps: 21427895 bytes, checksum: 251d7a6818387df6f8bc9722bde84c19 (MD5) AITR-1023.pdf: 8111679 bytes, checksum: 23f6028a8e07b824dc62a464acc4b921 (MD5) Previous issue date: 1988-01-01 en
dc.format.extent 21427895 bytes
dc.format.extent 8111679 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries AITR-1023 en_US
dc.title The Use of Grouping in Visual Object Recognition. en_US

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