16 September 2003 Optimal-tradeoff circular harmonic function filters for 3D target recognition
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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.
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Bhagavatula V. K. Vijaya Kumar, Chunyan Xie, Abhijit Mahalanobis, "Optimal-tradeoff circular harmonic function filters for 3D target recognition", Proc. SPIE 5094, Automatic Target Recognition XIII, (16 September 2003); doi: 10.1117/12.486062; https://doi.org/10.1117/12.486062

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