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.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/6797 |
| Date | 01 February 1993 |
| Creators | Thompson, Clay Matthew |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Format | 169 p., 5578723 bytes, 23583899 bytes, application/octet-stream, application/pdf |
| Relation | AITR-1411 |
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