Ambient Illumination Variation Removal by Active Near-IR Imaging

  • Xuan Zou
  • Josef Kittler
  • Kieron Messer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)


We investigate an active illumination method to overcome the effect of illumination variation in face recognition. Active Near-Infrared (Near-IR) illumination projected by a Light Emitting Diode (LED) light source is used to provide a constant illumination. The difference between two face images captured when the LED light is on and off respectively, is the image of a face under just the LED illumination, and is independent of ambient illumination. In preliminary experiments across different illuminations, across time, and their combinations, significantly better results are achieved in both automatic and semi-automatic face recognition experiments on LED illuminated faces than on face images under ambient illuminations.


Light Emit Diode Face Recognition Face Image Face Detection Illumination Condition 
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

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

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