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

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

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