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Abstract

We address the problem of fusing experts employing diverse similarity measures in LDA face space. The gradient direction measure is reviewed and experimentally compared with the normalised correlation in two different conditions, when the face images are well registered and when the registration process is performed automatically. We show that by combining the gradient direction measure and normalised correlation using a confidence based gating, the resulting decision making scheme consistently outperforms the best method. The gating is based on a novel decision confidence measure proposed in the paper.

Keywords

Linear Discriminant Analysis Face Image Normalise Correlation Gradient Direction False Acceptance Rate 
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.

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mohammad T. Sadeghi
    • 1
    • 2
  • Josef Kittler
    • 2
  1. 1.Signal Processing Research Lab., Department of ElectronicsUniversity of YazdYazdIran
  2. 2.Centre for Vision, Speech and Signal Processing, School of Electronics and Physical SciencesUniversity of SurreyGuildfordUK

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