Further exploration of the object-image metric with image registration in mind

Olga L. Mendoza; Gregory Arnold; Peter Stiller

doi:10.1117/12.777181

17 March 2008 Further exploration of the object-image metric with image registration in mind

Olga L. Mendoza, Gregory Arnold, Peter Stiller

Proceedings Volume 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008; 697405 (2008) https://doi.org/10.1117/12.777181
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

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..

Citation Download Citation

Olga L. Mendoza, Gregory Arnold, and Peter Stiller "Further exploration of the object-image metric with image registration in mind", Proc. SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 697405 (17 March 2008); https://doi.org/10.1117/12.777181

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