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Proceedings Paper

Three-dimensional pattern recognition using joint transform correlation
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Paper Abstract

A three-dimensional (3D) pattern recognition technique using classical joint transform correlation was proposed recently. However, it exhibits the same drawbacks of classical two-dimensional classical joint transform correlation by producing wide and broad correlation peak in the output plane. Thus, we propose a technique based on fringe-adjusted joint transform correlation to be used in 3D pattern recognition. The proposed technique yields better correlation discrimination ability compared to alternate 3D classical joint transform correlation by producing sharper and stronger correlation peak intensity. Simulation results verify the performance of the proposed technique.

Paper Details

Date Published: 22 October 2004
PDF: 12 pages
Proc. SPIE 5557, Optical Information Systems II, (22 October 2004); doi: 10.1117/12.558827
Show Author Affiliations
Mohammad S. Alam, Univ. of South Alabama (United States)
Sheue Feng Goh, Univ. of South Alabama (United States)


Published in SPIE Proceedings Vol. 5557:
Optical Information Systems II
Bahram Javidi; Demetri Psaltis, Editor(s)

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