Fusion of Infrared and Range Data: Multi-modal Face Images

  • Xin Chen
  • Patrick J. Flynn
  • Kevin W. Bowyer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)

Abstract

Infrared and range imagery are intriguing sensing modalities for face recognition systems. They may offer better performance than other modalities due to their robustness to environmental effects and deliberate attempts to obscure identity. Furthermore, a combination of these modalities may offer additional discrimination power. Toward this end, we present a semi-automatic system that captures range and infrared data of a human subject’s face, registers and integrates multiple 3D views into one model, and applies the infrared measurements as a registered texture map.

Keywords

Face Recognition Range Data Range Image Point Pair Face Surface 
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

  • Xin Chen
    • 1
  • Patrick J. Flynn
    • 1
  • Kevin W. Bowyer
    • 1
  1. 1.Dept. of Computer Science and EngineeringUniversity of Notre DameNotre DameUSA

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