Dissecting the object-image metric with image registration in mind

Olga Lisvet Mendoza; Gregory Arnold

doi:10.1117/12.719862

7 May 2007 Dissecting the Object-Image Metric with Image Registration in Mind

Olga Lisvet Mendoza, Gregory Arnold

Proceedings Volume 6568, Algorithms for Synthetic Aperture Radar Imagery XIV; 65680Y (2007) https://doi.org/10.1117/12.719862
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

Olga Lisvet Mendoza and Gregory Arnold "Dissecting the Object-Image Metric with Image Registration in Mind", Proc. SPIE 6568, Algorithms for Synthetic Aperture Radar Imagery XIV, 65680Y (7 May 2007); https://doi.org/10.1117/12.719862

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