Projective Structure from Two Uncalibrated Images: Structure from Motion and RecRecognition

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5958

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DC Field	Value	Language
dc.creator	Shashua, Amnon	-
dc.date	2004-10-04T14:24:09Z	-
dc.date	2004-10-04T14:24:09Z	-
dc.date	1992-09-01	-
dc.date.accessioned	2013-10-09T02:42:07Z	-
dc.date.available	2013-10-09T02:42:07Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AIM-1363	-
dc.identifier	http://hdl.handle.net/1721.1/5958	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	This paper addresses the problem of recovering relative structure, in the form of an invariant, referred to as projective structure, from two views of a 3D scene. The invariant structure is computed without any prior knowledge of camera geometry, or internal calibration, and with the property that perspective and orthographic projections are treated alike, namely, the system makes no assumption regarding the existence of perspective distortions in the input images.	-
dc.format	20 p.	-
dc.format	206755 bytes	-
dc.format	593090 bytes	-
dc.format	application/octet-stream	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AIM-1363	-
dc.title	Projective Structure from Two Uncalibrated Images: Structure from Motion and RecRecognition	-
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