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Multispectral Face Imaging and Analysis

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Handbook of Face Recognition

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.

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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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Authors and Affiliations

  1. Imaging, Robotics, and Intelligent Systems Lab, University of Tennessee, Knoxville, TN, 37996, USA

    Andreas Koschan, Hong Chang & Mongi Abidi

  2. Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, 12309, USA

    Yi Yao

Authors
  1. Andreas Koschan
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  2. Yi Yao
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  3. Hong Chang
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  4. Mongi Abidi
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Corresponding author

Correspondence to Andreas Koschan .

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Editors and Affiliations

  1. Institute of Automation, Center Biometrics Research & Security, Chinese Academy of Science, Room 1227, Zhongguancun 95, Beijing Donglu, 100080, China, People's Republic

    Stan Z. Li

  2. Dept. Computer Science & Engineering, Michigan State University, East Lansing, 48824-1226, Michigan, USA

    Anil K. Jain

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Koschan, A., Yao, Y., Chang, H., Abidi, M. (2011). Multispectral Face Imaging and Analysis. In: Li, S., Jain, A. (eds) Handbook of Face Recognition. Springer, London. https://doi.org/10.1007/978-0-85729-932-1_16

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  • DOI: https://doi.org/10.1007/978-0-85729-932-1_16

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-931-4

  • Online ISBN: 978-0-85729-932-1

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