Face Recognition Under Varying Pose

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6621

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DC Field	Value	Language
dc.creator	Beymer, David J.	-
dc.date	2004-10-08T20:34:36Z	-
dc.date	2004-10-08T20:34:36Z	-
dc.date	1993-12-01	-
dc.date.accessioned	2013-10-09T02:46:10Z	-
dc.date.available	2013-10-09T02:46:10Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-1461	-
dc.identifier	http://hdl.handle.net/1721.1/6621	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	While researchers in computer vision and pattern recognition have worked on automatic techniques for recognizing faces for the last 20 years, most systems specialize on frontal views of the face. We present a face recognizer that works under varying pose, the difficult part of which is to handle face rotations in depth. Building on successful template-based systems, our basic approach is to represent faces with templates from multiple model views that cover different poses from the viewing sphere. Our system has achieved a recognition rate of 98% on a data base of 62 people containing 10 testing and 15 modelling views per person.	-
dc.format	1032453 bytes	-
dc.format	1152182 bytes	-
dc.format	application/octet-stream	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-1461	-
dc.title	Face Recognition Under Varying Pose	-
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