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Fisher Light-Fields for Face Recognition across Pose and Illumination

  • Ralph Gross
  • Iain Matthews
  • Simon Baker
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2449)

Abstract

In many face recognition tasks the pose and illumination conditions of the probe and gallery images are different. In other cases multiple gallery or probe images may be available, each captured from a different pose and under a different illumination. We propose a face recognition algorithm which can use any number of gallery images per subject captured at arbitrary poses and under arbitrary illumination, and any number of probe images, again captured at arbitrary poses and under arbitrary illumination. The algorithm operates by estimating the Fisher light-field of the subject’s head from the input gallery or probe images. Matching between the probe and gallery is then performed using the Fisher light-fields.

Keywords

Face Recognition Linear Discriminant Analysis Probe Image Illumination Condition Gesture Recognition 
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 2002

Authors and Affiliations

  • Ralph Gross
    • 1
  • Iain Matthews
    • 1
  • Simon Baker
    • 1
  1. 1.The Robotics InstituteCarnegie Mellon UniversityPittsburgh

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