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Proceedings Paper

Further exploration of 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 it is constructed for matching and comparing configurations 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 limitations. 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: 17 March 2008
PDF: 12 pages
Proc. SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 697405 (17 March 2008); doi: 10.1117/12.777181
Show Author Affiliations
Olga L. Mendoza, Air Force Research Lab. (United States)
Gregory Arnold, Air Force Research Lab. (United States)
Peter Stiller, Texas A&M Univ. (United States)


Published in SPIE Proceedings Vol. 6974:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008
Belur V. Dasarathy, Editor(s)

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