A computational framework for understanding problems in stereo vision
Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1987.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2005
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Online Access: | http://hdl.handle.net/1721.1/14655 |
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author | Gennert, Michael Andrew |
author2 | Berthold K. P. Horn. |
author_facet | Berthold K. P. Horn. Gennert, Michael Andrew |
author_sort | Gennert, Michael Andrew |
collection | MIT |
description | Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1987. |
first_indexed | 2024-09-23T14:45:59Z |
format | Thesis |
id | mit-1721.1/14655 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T14:45:59Z |
publishDate | 2005 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/146552019-04-12T09:17:52Z A computational framework for understanding problems in stereo vision Gennert, Michael Andrew Berthold K. P. Horn. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1987. Bibliography: leaves 191-201. by Michael Andrew Gennert. Sc.D. 2005-08-08T21:25:23Z 2005-08-08T21:25:23Z 1987 1987 Thesis http://hdl.handle.net/1721.1/14655 18264031 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 [2], xii, 201 leaves 16712631 bytes 16712389 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
spellingShingle | Electrical Engineering and Computer Science Gennert, Michael Andrew A computational framework for understanding problems in stereo vision |
title | A computational framework for understanding problems in stereo vision |
title_full | A computational framework for understanding problems in stereo vision |
title_fullStr | A computational framework for understanding problems in stereo vision |
title_full_unstemmed | A computational framework for understanding problems in stereo vision |
title_short | A computational framework for understanding problems in stereo vision |
title_sort | computational framework for understanding problems in stereo vision |
topic | Electrical Engineering and Computer Science |
url | http://hdl.handle.net/1721.1/14655 |
work_keys_str_mv | AT gennertmichaelandrew acomputationalframeworkforunderstandingproblemsinstereovision AT gennertmichaelandrew computationalframeworkforunderstandingproblemsinstereovision |