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Face Recognition Across the Imaging Spectrum

  • Book
  • © 2016

Overview

Editors:
  1. Thirimachos Bourlai

    1. Multispectral Imagery Lab—MILab, LCSEE, West Virginia University, MORGANTOWN, USA

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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
  • Includes supplementary material: sn.pub/extras

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xii
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  2. An Overview of Spectral Imaging of Human Skin Toward Face Recognition

    • David W. Allen
    Pages 1-19

  3. Collection of Multispectral Biometric Data for Cross-spectral Identification Applications

    • J. M. Dawson, S. C. Leffel, C. Whitelam, T. Bourlai
    Pages 21-46

  4. Hyperspectral Face Databases for Facial Recognition Research

    • Woon Cho, Andreas Koschan, Mongi A. Abidi
    Pages 47-68

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

    • Shuowen Hu, Nathaniel J. Short, Prudhvi K. Gurram, Kristan P. Gurton, Christopher Reale
    Pages 69-90

  6. Local Operators and Measures for Heterogeneous Face Recognition

    • Zhicheng Cao, Natalia A. Schmid, Thirimachos Bourlai
    Pages 91-115

  7. Assessment of Facial Recognition System Performance in Realistic Operating Environments

    • Kevin R. Leonard
    Pages 117-138

  8. Understanding Thermal Face Detection: Challenges and Evaluation

    • Janhavi Agrawal, Aishwarya Pant, Tejas I. Dhamecha, Richa Singh, Mayank Vatsa
    Pages 139-163

  9. Face Recognition Systems Under Spoofing Attacks

    • Ivana Chingovska, Nesli Erdogmus, André Anjos, Sébastien Marcel
    Pages 165-194

  10. On the Effects of Image Alterations on Face Recognition Accuracy

    • Matteo Ferrara, Annalisa Franco, Davide Maltoni
    Pages 195-222

  11. Document to Live Facial Identification

    • A. D. Clark, C. Whitelam, T. Bourlai
    Pages 223-245

  12. Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey

    • Manuel Günther, Laurent El Shafey, Sébastien Marcel
    Pages 247-280

  13. Face Recognition with RGB-D Images Using Kinect

    • Gaurav Goswami, Mayank Vatsa, Richa Singh
    Pages 281-303

  14. Blending 2D and 3D Face Recognition

    • M. Tistarelli, M. Cadoni, A. Lagorio, E. Grosso
    Pages 305-331

  15. Exploiting Score Distributions for Biometric Applications

    • Panagiotis Moutafis, Ioannis A. Kakadiaris
    Pages 333-353

  16. Multispectral Ocular Biometrics

    • Simona G. Crihalmeanu, Arun A. Ross
    Pages 355-380

  17. Back Matter

    Pages 381-383
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Keywords

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.

Editors and Affiliations

  • Multispectral Imagery Lab—MILab, LCSEE, West Virginia University, MORGANTOWN, USA

    Thirimachos Bourlai

Bibliographic Information

  • Book Title: Face Recognition Across the Imaging Spectrum

  • Editors: Thirimachos Bourlai

  • DOI: https://doi.org/10.1007/978-3-319-28501-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-28499-6Published: 25 February 2016

  • Softcover ISBN: 978-3-319-80365-4Published: 21 March 2019

  • eBook ISBN: 978-3-319-28501-6Published: 12 February 2016

  • Edition Number: 1

  • Number of Pages: XII, 383

  • Number of Illustrations: 162 b/w illustrations, 34 illustrations in colour

  • Topics: Biometrics, Forensic Science, Pattern Recognition

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