Grouping For Recognition

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6525

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DC Field	Value	Language
dc.creator	Jacobs, David W.	-
dc.date	2004-10-04T15:14:39Z	-
dc.date	2004-10-04T15:14:39Z	-
dc.date	1989-11-01	-
dc.date.accessioned	2013-10-09T02:45:54Z	-
dc.date.available	2013-10-09T02:45:54Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-1177	-
dc.identifier	http://hdl.handle.net/1721.1/6525	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	This paper presents a new method of grouping edges in order to recognize objects. This grouping method succeeds on images of both two- and three- dimensional objects. So that the recognition system can consider first the collections of edges most likely to lead to the correct recognition of objects, we order groups of edges based on the likelihood that a single object produced them. The grouping module estimates this likelihood using the distance that separates edges and their relative orientation. This ordering greatly reduces the amount of computation required to locate objects and improves the system's robustness to error.	-
dc.format	5837494 bytes	-
dc.format	2340445 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-1177	-
dc.title	Grouping For Recognition	-
Appears in Collections:	MIT Items

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