Motion Compensation for Face Recognition Based on Active Differential Imaging

  • Xuan Zou
  • Josef Kittler
  • Kieron Messer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)


Active differential imaging has been proved to be an effective approach to remove ambient illumination for face recognition. In this paper we address the problem caused by motion for a face recognition system based on active differential imaging. A moving face will appear at two different locations in the ambient illumination frame and combined illumination frame and as result artifacts are introduced to the difference face image. An approach based on motion compensation is proposed to deal with this problem. Experiments on moving faces demonstrate that the proposed approach leads to significant improvements in face identification and verification results.


Face Recognition Face Image Motion Compensation Face Database Motion Blur 
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 2007

Authors and Affiliations

  • Xuan Zou
    • 1
  • Josef Kittler
    • 1
  • Kieron Messer
    • 1
  1. 1.Centre for Vision, Speech and Signal Processing, University of SurreyUnited Kingdom

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