Face Recognition Across the Imaging Spectrum

Editors: Bourlai, Thirimachos (Ed.)

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  • Reviews the major operational problems and current solutions in the area of human identification
  • Presents a specific focus on face biometrics using sensors that cover the electromagnetic spectrum more broadly than visible-band cameras
  • Demonstrates how multi-spectral facial recognition technology can be used in a real-world setting
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  • ISBN 978-3-319-28501-6
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  • ISBN 978-3-319-28499-6
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About this book

This authoritative text/reference presents a comprehensive review of algorithms and techniques for face recognition (FR), with an emphasis on systems that can be reliably used in operational environments. Insights are provided by an international team of pre-eminent experts into the processing of multispectral and hyperspectral face images captured under uncontrolled environments. These discussions cover a variety of imaging sensors ranging from state-of-the-art visible and infrared imaging sensors, to RGB-D and mobile phone image sensors. A range of different biometric modalities are also examined, including face, periocular and iris. This timely volume is a mine of useful information for researchers, practitioners and students involved in image processing, computer vision, biometrics and security.

Table of contents (15 chapters)

Table of contents (15 chapters)
  • An Overview of Spectral Imaging of Human Skin Toward Face Recognition

    Allen, David W.

    Pages 1-19

  • Collection of Multispectral Biometric Data for Cross-spectral Identification Applications

    Dawson, J. M. (et al.)

    Pages 21-46

  • Hyperspectral Face Databases for Facial Recognition Research

    Cho, Woon (et al.)

    Pages 47-68

  • MWIR-to-Visible and LWIR-to-Visible Face Recognition Using Partial Least Squares and Dictionary Learning

    Hu, Shuowen (et al.)

    Pages 69-90

  • Local Operators and Measures for Heterogeneous Face Recognition

    Cao, Zhicheng (et al.)

    Pages 91-115

Buy this book

eBook n/a
  • ISBN 978-3-319-28501-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
Hardcover n/a
  • ISBN 978-3-319-28499-6
  • Free shipping for individuals worldwide
Softcover n/a
  • ISBN 978-3-319-80365-4
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Face Recognition Across the Imaging Spectrum
Editors
  • Thirimachos Bourlai
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-28501-6
DOI
10.1007/978-3-319-28501-6
Hardcover ISBN
978-3-319-28499-6
Softcover ISBN
978-3-319-80365-4
Edition Number
1
Number of Pages
XII, 383
Number of Illustrations
162 b/w illustrations, 34 illustrations in colour
Topics