Recognizing Rigid Objects by Aligning Them with an Image

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6456

Full metadata record

DC Field	Value	Language
dc.creator	Huttenlocher, Daniel P.	-
dc.creator	Ullman, Shimon	-
dc.date	2004-10-04T14:57:04Z	-
dc.date	2004-10-04T14:57:04Z	-
dc.date	1987-01-01	-
dc.date.accessioned	2013-10-09T02:45:32Z	-
dc.date.available	2013-10-09T02:45:32Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-937	-
dc.identifier	http://hdl.handle.net/1721.1/6456	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	This paper presents an approach to recognition where an object is first {\\it aligned} with an image using a small number of pairs of model and image features, and then the aligned model is compared directly against the image. To demonstrate the method, we present some examples of recognizing flat rigid objects with arbitrary three-dimensional position, orientation, and scale, from a single two-scale-space segmentation of edge contours. The method is extended to the domain of non-flat objects as well.	-
dc.format	7384338 bytes	-
dc.format	2839750 bytes	-
dc.format	application/postscript	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-937	-
dc.title	Recognizing Rigid Objects by Aligning Them with an Image	-
Appears in Collections:	MIT Items

Files in This Item:

There are no files associated with this item.

DSpace JSPUI