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Proceedings Paper

Optimal-tradeoff circular harmonic function filters for 3D target recognition
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Paper Abstract

3D target recognition is of significant interest because representing the object in 3D space couuld essentially provide a solution to pose variation and self-occlusion problems that are big challenges in 2D pattern recognition. Correlation filers have been used in a variety of 2D pattern matching applications and many correlation filter designs have been developed to handle problems such as rotations. Correlation filters also offer other benefits such as shift-invariance, graceful degradation and closed-form solutions. The 3D extension of correlation filter is a natural extension to handle 3D pattern recognition problem. In this paper, we propose a 3D correlation filter design method based on cylindrical circular harmonic function (CCHF) and use LADAR imagery to illustrate the good performance of CCHF filters.

Paper Details

Date Published: 16 September 2003
PDF: 11 pages
Proc. SPIE 5094, Automatic Target Recognition XIII, (16 September 2003); doi: 10.1117/12.486062
Show Author Affiliations
Bhagavatula V. K. Vijaya Kumar, Carnegie Mellon Univ. (United States)
Chunyan Xie, Carnegie Mellon Univ. (United States)
Abhijit Mahalanobis, Lockheed Martin Missiles and Fire Control (United States)


Published in SPIE Proceedings Vol. 5094:
Automatic Target Recognition XIII
Firooz A. Sadjadi, Editor(s)

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