Adaptive nonlinear fringe-adjusted joint transform correlator

Isabelle Leonard (1) , Ayman Alfalou (1) , Mohammad S. Alam (2) , Andreas Arnold Bos (3)

1 L@BISEN - Laboratoire ISEN
2 Department of electrical and computer Engineering
3 EGS - Etudes Générales Sonars

An optimized technique based on the fringe-adjustedJTC (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 by: (1) utilizing the fringe-adjusted filter (HFAF) in the Fourier plane, (2) adding nonlinear processing in the Fourier plane, and (3) using 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 thedesired target. Test results obtained using the PHPID (Pointing Head Pose Image Database) data baseconfirm robust performance of the proposed method for face recognition and tracking applications. Thereafter, we also tested the proposed technique for a challenging application i.e. underwater mine detection and excellent results were obtained.

Mots clés: correlation; nonlinear fringe-adjusted JTC; face recognition; underwater mine recognition

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]; Optique / photonique

Isabelle Leonard, Ayman Alfalou, Mohammad S. Alam, Andreas Arnold Bos. Adaptive nonlinear fringe-adjusted joint transform correlator. Optical Engineering, 2012, pp.098201-1 098201-14. ⟨10.1117/1.OE.51.9.098201⟩. ⟨hal-00781755⟩