Robust Photo-topography by Fusing Shape-from-Shading and Stereo

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6797

Full metadata record

DC Field	Value	Language
dc.creator	Thompson, Clay Matthew	-
dc.date	2004-10-20T19:55:23Z	-
dc.date	2004-10-20T19:55:23Z	-
dc.date	1993-02-01	-
dc.date.accessioned	2013-10-09T02:46:58Z	-
dc.date.available	2013-10-09T02:46:58Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AITR-1411	-
dc.identifier	http://hdl.handle.net/1721.1/6797	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	Methods for fusing two computer vision methods are discussed and several example algorithms are presented to illustrate the variational method of fusing algorithms. The example algorithms seek to determine planet topography given two images taken from two different locations with two different lighting conditions. The algorithms each employ assingle cost function that combines the computer vision methods of shape-from-shading and stereo in different ways. The algorithms are closely coupled and take into account all the constraints of the photo-topography problem. The algorithms are run on four synthetic test image sets of varying difficulty.	-
dc.format	169 p.	-
dc.format	5578723 bytes	-
dc.format	23583899 bytes	-
dc.format	application/octet-stream	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AITR-1411	-
dc.subject	shape-from-shading	-
dc.subject	fusion	-
dc.subject	stereo	-
dc.subject	matlab	-
dc.subject	computer vision	-
dc.title	Robust Photo-topography by Fusing Shape-from-Shading and Stereo	-
Appears in Collections:	MIT Items

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