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Face Verification in Polar Frequency Domain: A Biologically Motivated Approach

  • Yossi Zana
  • Roberto M. Cesar-Jr
  • Rogerio S. Feris
  • Matthew Turk
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3804)

Abstract

We present a novel local-based face verification system whose components are analogous to those of biological systems. In the proposed system, after global registration and normalization, three eye regions are converted from the spatial to polar frequency domain by a Fourier-Bessel Transform. The resulting representations are embedded in a dissimilarity space, where each image is represented by its distance to all the other images. In this dissimilarity space a Pseudo-Fisher discriminator is built. ROC and equal error rate verification test results on the FERET database showed that the system performed at least as state-of-the-art methods and better than a system based on polar Fourier features. The local-based system is especially robust to facial expression and age variations, but sensitive to registration errors.

Keywords

Face Recognition Linear Discriminant Analysis Human Visual System Equal Error Rate Gabor Wavelet 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yossi Zana
    • 1
  • Roberto M. Cesar-Jr
    • 1
  • Rogerio S. Feris
    • 2
  • Matthew Turk
    • 2
  1. 1.Dept. of Computer ScienceIME-USPBrazil
  2. 2.University of CaliforniaSanta Barbara

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