On the Recognition of Parameterized Objects

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6065

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DC Field	Value	Language
dc.creator	Grimson, W. Eric L.	-
dc.date	2004-10-04T14:37:20Z	-
dc.date	2004-10-04T14:37:20Z	-
dc.date	1987-10-01	-
dc.date.accessioned	2013-10-09T02:42:39Z	-
dc.date.available	2013-10-09T02:42:39Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-985	-
dc.identifier	http://hdl.handle.net/1721.1/6065	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	Determining the identity and pose of occluded objects from noisy data is a critical step in interacting intelligently with an unstructured environment. Previous work has shown that local measurements of position and surface orientation may be used in a constrained search process to solve this problem, for the case of rigid objects, either two-dimensional or three-dimensional. This paper considers the more general problem of recognizing and locating objects that can vary in parameterized ways. We consider objects with rotational, translational, or scaling degrees of freedom, and objects that undergo stretching transformations. We show that the constrained search method can be extended to handle the recognition and localization of such generalized classes of object families.	-
dc.format	26 p.	-
dc.format	3013317 bytes	-
dc.format	1174236 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-985	-
dc.subject	object recognition	-
dc.subject	constrained search	-
dc.title	On the Recognition of Parameterized Objects	-
Appears in Collections:	MIT Items

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