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dc.contributor.authorThompson, Clay Matthewen_US
dc.date.accessioned2004-10-20T19:55:23Z
dc.date.available2004-10-20T19:55:23Z
dc.date.issued1993-02-01en_US
dc.identifier.otherAITR-1411en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6797
dc.description.abstractMethods 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.en_US
dc.format.extent169 p.en_US
dc.format.extent5578723 bytes
dc.format.extent23583899 bytes
dc.format.mimetypeapplication/octet-stream
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAITR-1411en_US
dc.subjectshape-from-shadingen_US
dc.subjectfusionen_US
dc.subjectstereoen_US
dc.subjectmatlaben_US
dc.subjectcomputer visionen_US
dc.titleRobust Photo-topography by Fusing Shape-from-Shading and Stereoen_US


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