Face recognition with disparity corrected gabor phase differences

  • Authors:
  • Manuel Günther;Dennis Haufe;Rolf P. Würtz

  • Affiliations:
  • Idiap Research Institute, Martigny, Switzerland;Institut für Neuroinformatik, Ruhr Universität, Bochum, Germany;Institut für Neuroinformatik, Ruhr Universität, Bochum, Germany

  • Venue:
  • ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
  • Year:
  • 2012

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Abstract

We analyze the relative relevance of Gabor amplitudes and phases for face recognition. We propose an algorithm to reliably estimate offset point disparities from phase differences and show that disparity-corrected Gabor phase differences are well suited for face recognition in difficult lighting conditions. The method reaches 74.8% recognition rate on the Lighting set of the CAS-PEAL database and 35.7% verification rate on experiment 2.4 of the FRGC database.