Recognizing Rigid Objects by Aligning Them with an Image

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

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