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  • Book
  • © 2016

Face Recognition Across the Imaging Spectrum

  • 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

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-28501-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 179.99
Price excludes VAT (USA)
Hardcover Book USD 179.99
Price excludes VAT (USA)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xii
  2. Collection of Multispectral Biometric Data for Cross-spectral Identification Applications

    • J. M. Dawson, S. C. Leffel, C. Whitelam, T. Bourlai
    Pages 21-46
  3. Hyperspectral Face Databases for Facial Recognition Research

    • Woon Cho, Andreas Koschan, Mongi A. Abidi
    Pages 47-68
  4. 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
  5. Local Operators and Measures for Heterogeneous Face Recognition

    • Zhicheng Cao, Natalia A. Schmid, Thirimachos Bourlai
    Pages 91-115
  6. Understanding Thermal Face Detection: Challenges and Evaluation

    • Janhavi Agrawal, Aishwarya Pant, Tejas I. Dhamecha, Richa Singh, Mayank Vatsa
    Pages 139-163
  7. Face Recognition Systems Under Spoofing Attacks

    • Ivana Chingovska, Nesli Erdogmus, André Anjos, Sébastien Marcel
    Pages 165-194
  8. On the Effects of Image Alterations on Face Recognition Accuracy

    • Matteo Ferrara, Annalisa Franco, Davide Maltoni
    Pages 195-222
  9. Document to Live Facial Identification

    • A. D. Clark, C. Whitelam, T. Bourlai
    Pages 223-245
  10. Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey

    • Manuel Günther, Laurent El Shafey, Sébastien Marcel
    Pages 247-280
  11. Face Recognition with RGB-D Images Using Kinect

    • Gaurav Goswami, Mayank Vatsa, Richa Singh
    Pages 281-303
  12. Blending 2D and 3D Face Recognition

    • M. Tistarelli, M. Cadoni, A. Lagorio, E. Grosso
    Pages 305-331
  13. Exploiting Score Distributions for Biometric Applications

    • Panagiotis Moutafis, Ioannis A. Kakadiaris
    Pages 333-353
  14. Multispectral Ocular Biometrics

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

    Pages 381-383

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.

Topics and features:

  • Presents a detailed introduction to the spectral imaging of human skin, and describes the data collection of multispectral and hyperspectral face images
  • Covers a range of face-based identification technologies addressing challenges in the processing of face images in visible and infrared spectral bands
  • Provides an overview of spoofing attacks and counter-measures for FR systems, and analyzes the effects of digital image alterations on FR algorithms
  • Investigates the processing of degraded face photographs from ID documents, and examines mobile FR in still images and video sequences
  • Proposes a state-of-the-art RGB-D FR algorithm, and suggests algorithms for 3D-based FR as well as techniques blending 2D and 3D data
  • Discusses score normalization methods, and explores the use of patterns in the sclera in order to improve the robustness of iris recognition systems

This timely volume is a mine of useful information for researchers, practitioners and students involved in image processing, computer vision, biometrics and security.

Dr. Thirimachos Bourlai is an Assistant Professor in the Lane Department of Computer Science and Electrical Engineering at West Virginia University, Morgantown, WV, USA.

Keywords

  • Biometrics
  • Face Recognition
  • Forensics
  • Human Identification
  • Multi-Spectral Imaging

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: 978-3-319-28499-6

  • Softcover ISBN: 978-3-319-80365-4

  • eBook ISBN: 978-3-319-28501-6

  • Edition Number: 1

  • Number of Pages: XII, 383

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

  • Topics: Biometrics, Forensic Science, Automated Pattern Recognition

Buying options

eBook USD 139.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-28501-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 179.99
Price excludes VAT (USA)
Hardcover Book USD 179.99
Price excludes VAT (USA)