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Proceedings Paper

Dissecting the object-image metric with image registration in mind
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Paper Abstract

An object-image metric is an extension of standard metrics in that is constructed for matching and comparing configuration of object features to configurations of image features. For the generalized weak perspective camera, it is invariant to any affine transformation of the object or the image. Recent research in the exploitation of the object-image metric suggests new approaches to Automatic Target Recognition (ATR). This paper explores the object-image metric and its limitation. Through a series of experiments, we specifically seek to understand how the object-image metric could be applied to the image registration problem-an enabling technology for ATR.

Paper Details

Date Published: 7 May 2007
PDF: 8 pages
Proc. SPIE 6568, Algorithms for Synthetic Aperture Radar Imagery XIV, 65680Y (7 May 2007); doi: 10.1117/12.719862
Show Author Affiliations
Olga Lisvet Mendoza, Air Force Research Lab. (United States)
Gregory Arnold, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 6568:
Algorithms for Synthetic Aperture Radar Imagery XIV
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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