Geometry and Photometry in 3D Visual Recognition

dc.creator	Shashua, Amnon
dc.date	2004-10-20T20:23:42Z
dc.date	2004-10-20T20:23:42Z
dc.date	1992-11-01
dc.date.accessioned	2013-10-09T02:48:06Z
dc.date.available	2013-10-09T02:48:06Z
dc.date.issued	2013-10-09
dc.identifier	AITR-1401
dc.identifier	http://hdl.handle.net/1721.1/7047
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description	The report addresses the problem of visual recognition under two sources of variability: geometric and photometric. The geometric deals with the relation between 3D objects and their views under orthographic and perspective projection. The photometric deals with the relation between 3D matte objects and their images under changing illumination conditions. Taken together, an alignment-based method is presented for recognizing objects viewed from arbitrary viewing positions and illuminated by arbitrary settings of light sources.
dc.format	11817400 bytes
dc.format	2837265 bytes
dc.format	application/postscript
dc.format	application/pdf
dc.language	en_US
dc.relation	AITR-1401
dc.title	Geometry and Photometry in 3D Visual Recognition

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