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Chapitre D'ouvrage Année : 2010

Understanding Correlation Techniques for Face Recognition: From Basics to Applications

Ayman Alfalou
C. Brosseau
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Résumé

This chapter covers some of the latest developments in optical correlation techniques for face recognition using the concept of spectral fusion and placing a special emphasis on its practical aspects and applications for face recognition. Optical correlation is reviewed as a method to carry out instantly a decision on the target form (form to be recognized). A range of relevant practical topics is discussed, such as JTC (Joint Transform Correlator) and the Vander-Lugt architectures. Both of them are based on the "4f" optical setup and on a comparison between the target image and a reference image. The similarity between the two images is achieved by the detection of a correlation peak. The development of suitable algorithms for optical correlation and new technologies in electro-optical interfaces has significantly improved the processing capacity of optical correlators and reduce their sizes. To overcome the limitations of a decision taken by a simple detection of a correlation peak, more complex decision algorithms are required. These algorithms necessitate the integration of new correlation filters and the realization of multiple correlations and reconfigurable multi-channel architectures.
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Dates et versions

hal-00579191 , version 1 (23-03-2011)

Identifiants

  • HAL Id : hal-00579191 , version 1

Citer

Ayman Alfalou, C. Brosseau. Understanding Correlation Techniques for Face Recognition: From Basics to Applications. Milos Oravec. Face Recognition, InTech, pp.353-380, 2010, InTech. ⟨hal-00579191⟩

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