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

Title: en_US Robust Photo-topography by Fusing Shape-from-Shading and Stereo
Creator: en_US Thompson, Clay Matthew
Date: 2004-10-20T19:55:23Z
Date Available: 2004-10-20T19:55:23Z
Date Issued: en_US 1993-02-01
Identifier: en_US AITR-1411
uri: http://hdl.handle.net/1721.1/6797
Abstract: en_US 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.
Extent: en_US 169 p.; 5578723 bytes; 23583899 bytes
Format: application/octet-stream; application/pdf
Language: en_US
Relation: en_US AITR-1411
Subject: en_US shape-from-shading; en_US fusion; en_US stereo; en_US matlab; en_US computer vision