Face Recognition Across the Imaging Spectrum

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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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.

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

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

  Thirimachos Bourlai

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