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Optical Engineering • Open Access

Adaptive nonlinear fringe-adjusted joint transform correlator
Author(s): Isabelle Leonard; Ayman Alfalou; Mohammad S. Alam; Andreas Arnold-Bos

Paper Abstract

An optimized technique, based on the fringe-adjusted joint transform correlator architecture, is proposed and validated for rotation invariant recognition and tracking of a target in an unknown input scene. To enhance the robustness of the proposed technique, we used a three-step optimization. First, we utilized the fringe-adjusted filter (H FAF ) in the Fourier plane, then we added nonlinear processing in the Fourier plane, and, finally, we used a new decision criterion in the correlation plane by considering the correlation peak energy and the highest peaks outside the desired correlation peak. Several tests were conducted to reduce the number of reference images needed for fast tracking, while ensuring robust discrimination and efficient tracking of the desired target. Test results, obtained using the pointing head pose image database, confirm robust performance of the proposed method for face recognition and tracking applications. Thereafter, we also tested the proposed technique for a challenging application such as underwater mine detection and excellent results were obtained.

Paper Details

Date Published: 14 September 2012
PDF: 14 pages
Opt. Eng. 51(9) 098201 doi: 10.1117/1.OE.51.9.098201
Published in: Optical Engineering Volume 51, Issue 9
Show Author Affiliations
Isabelle Leonard, ISEN Brest (France)
Ayman Alfalou, ISEN Brest (France)
Mohammad S. Alam, Univ. of South Alabama (United States)
Andreas Arnold-Bos, Thales Underwater Systems (France)


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