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Proceedings Paper

Model-based object recognition in aerial photography
Author(s): James Knowles; James J. Pearson; Brian Ringer; Joan B. Lurie
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Paper Abstract

Automatic object recognition is a difficult and as yet unsolved problem. There exist, however, a number of benign circumstances in which a great deal is known about all aspects of the problem--enough, in principle, to predict exactly the appearance of the image when given a small amount of information about a few objects present and their locations. In those case, it is rather straightforward to reverse the process and infer from the image the identity and locations of the objects.

Paper Details

Date Published: 25 February 1994
PDF: 9 pages
Proc. SPIE 2103, 22nd AIPR Workshop: Interdisciplinary Computer Vision: Applications and Changing Needs, (25 February 1994); doi: 10.1117/12.169474
Show Author Affiliations
James Knowles, ESL, Inc. (United States)
James J. Pearson, ESL, Inc. (United States)
Brian Ringer, TRW, Inc. (United States)
Joan B. Lurie, TRW, Inc. (United States)


Published in SPIE Proceedings Vol. 2103:
22nd AIPR Workshop: Interdisciplinary Computer Vision: Applications and Changing Needs

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