The Use of Grouping in Visual Object Recognition.

dc.creator	Jacobs, David W.
dc.date	2004-10-20T20:11:19Z
dc.date	2004-10-20T20:11:19Z
dc.date	1988-01-01
dc.date.accessioned	2013-10-09T02:47:59Z
dc.date.available	2013-10-09T02:47:59Z
dc.date.issued	2013-10-09
dc.identifier	AITR-1023
dc.identifier	http://hdl.handle.net/1721.1/6967
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	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.
dc.format	21427895 bytes
dc.format	8111679 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AITR-1023
dc.title	The Use of Grouping in Visual Object Recognition.

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