Information Fusion for Local Gabor Features Based Frontal Face Verification

  • Enrique Argones Rúa
  • Josef Kittler
  • Jose Luis Alba Castro
  • Daniel González Jiménez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)

Abstract

We address the problem of fusion in a facial component approach to face verification. In our study the facial components are local image windows defined on a regular grid covering the face image. Gabor jets computed in each window provide face representation. A fusion architecture is proposed to combine the face verification evidence conveyed by each facial component. A novel modification of the linear discriminant analysis method is presented that improves fusion performance as well as providing a basis for feature selection. The potential of the method is demonstrated in experiments on the XM2VTS data base.

Keywords

Feature Selection Face Image Training Image Information Fusion Facial Component 
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

  • Enrique Argones Rúa
    • 1
  • Josef Kittler
    • 2
  • Jose Luis Alba Castro
    • 1
  • Daniel González Jiménez
    • 1
  1. 1.Signal Theory Group, Signal Theory and Communications Dep.University of VigoSpain
  2. 2.Centre for Vision, Speech and Signal ProcessingUniversity of SurreyGuildfordUK

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