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Multispectral Face Imaging and Analysis

  • Andreas Koschan
  • Yi Yao
  • Hong Chang
  • Mongi Abidi

Abstract

This chapter addresses the advantages of using multispectral narrow-band images for face recognition, as opposed to conventional broad-band images obtained by color or monochrome cameras. Narrow-band images are by definition taken over a very small range of wavelengths, while broad-band images average the information obtained over a wide range of wavelengths. There are two primary reasons for employing multispectral imaging for face recognition.

Keywords

Face Recognition Spectral Band Multispectral Image Tunable Filter Band Selection 
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.

Notes

Acknowledgements

This work was supported in part by the DOE University Research Program in Robotics under grant DOE-DEFG02-86NE37968 and NSF-CITeR grant 01-598B-UT.

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Andreas Koschan
    • 1
  • Yi Yao
    • 2
  • Hong Chang
    • 1
  • Mongi Abidi
    • 1
  1. 1.Imaging, Robotics, and Intelligent Systems LabUniversity of TennesseeKnoxvilleUSA
  2. 2.Visualization and Computer Vision LabGE Global ResearchNiskayunaUSA

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