Hypotheses-driven affine invariant localization of faces in verification systems

  • Authors:
  • M. Hamouz;J. Kittler;J. K. Kamarainen;H. Kälväinen

  • Affiliations:
  • Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom;Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom;Laboratory for Information Processing, Lappeenranta University of Technology, Finland;Laboratory for Information Processing, Lappeenranta University of Technology, Finland

  • Venue:
  • AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
  • Year:
  • 2003

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Abstract

We propose a novel framework for localizing human faces in client authentication scenarios based on correspondences between triplets of detected Gabor-based local features and their counterparts in a generic affine invariant face appearance model. The method is robust to partial occlusion, feature detector failure and copes well with cluttered background. The method was tested on the BANCA database and produced promising results.