New distortion-invariant SVRDM hierarchical classifier

David P. Casasent; Yu-Chiang Wang

doi:10.1117/12.593037

25 October 2004 New distortion-invariant SVRDM hierarchical classifier

David P. Casasent, Yu-Chiang Wang

Proceedings Volume 5608, Intelligent Robots and Computer Vision XXII: Algorithms, Techniques, and Active Vision; (2004) https://doi.org/10.1117/12.593037
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States

Abstract

A hierarchical classifier using a new SVRDM (support vector representation and discrimination machine) is proposed for automatic target recognition. Shift and scale-invariant features are considered. In addition, we consider the ability of the classifier to reject non-object class or clutter inputs. Initial recognition and rejection test results on infra-red (IR) data are excellent.

Citation Download Citation

David P. Casasent and Yu-Chiang Wang "New distortion-invariant SVRDM hierarchical classifier", Proc. SPIE 5608, Intelligent Robots and Computer Vision XXII: Algorithms, Techniques, and Active Vision, (25 October 2004); https://doi.org/10.1117/12.593037

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