Handbook of Face Recognition

  • Stan Z. Li
  • Anil K. Jain

Table of contents

  1. Front Matter
    Pages I-XV
  2. Stan Z. Li, Anil K. Jain
    Pages 1-15
  3. Face Image Modeling and Representation

    1. Front Matter
      Pages 17-17
    2. Gregory Shakhnarovich, Baback Moghaddam
      Pages 19-49
    3. Wei Bian, Dacheng Tao
      Pages 51-77
    4. Joni-Kristian Kämäräinen, Abdenour Hadid, Matti Pietikäinen
      Pages 79-108
    5. Phil Tresadern, Tim Cootes, Chris Taylor, Vladimir Petrović
      Pages 109-135
    6. Reinhard Knothe, Brian Amberg, Sami Romdhani, Volker Blanz, Thomas Vetter
      Pages 137-168
    7. Ronen Basri, David Jacobs
      Pages 169-195
    8. Ralph Gross, Simon Baker, Iain Matthews, Takeo Kanade
      Pages 197-221
    9. J. Birgitta Martinkauppi, Abdenour Hadid, Matti Pietikäinen
      Pages 223-249
    10. Unsang Park, Anil K. Jain
      Pages 251-274
  4. Face Recognition Techniques

    1. Front Matter
      Pages 275-275
    2. Stan Z. Li, Jianxin Wu
      Pages 277-303
    3. Xiaoqing Ding, Liting Wang
      Pages 305-322
    4. Rama Chellappa, Ming Du, Pavan Turaga, Shaohua Kevin Zhou
      Pages 323-351
    5. Frederick W. Wheeler, Xiaoming Liu, Peter H. Tu
      Pages 353-381
    6. Stan Z. Li, Dong Yi
      Pages 383-400
    7. Andreas Koschan, Yi Yao, Hong Chang, Mongi Abidi
      Pages 401-428
    8. I. A. Kakadiaris, G. Passalis, G. Toderici, E. Efraty, P. Perakis, D. Chu et al.
      Pages 429-459
    9. Jörgen Ahlberg, Igor S. Pandzic
      Pages 461-486
    10. Yingli Tian, Takeo Kanade, Jeffrey F. Cohn
      Pages 487-519
    11. Yang Wang, Zicheng Liu, Baining Guo
      Pages 521-547
  5. Performance Evaluation: Machines and Humans

    1. Front Matter
      Pages 549-549
    2. P. Jonathon Phillips, Patrick Grother, Ross Micheals
      Pages 551-574
    3. Heinrich H. Bülthoff, Douglas W. Cunningham, Christian Wallraven
      Pages 575-596
    4. Alice J. O’Toole
      Pages 597-614
  6. Face Recognition Applications

    1. Front Matter
      Pages 615-615
    2. Thomas Huang, Ziyou Xiong, Zhenqiu Zhang
      Pages 617-638
    3. Michael Brauckmann, Christoph Busch
      Pages 639-653
    4. Nicole A. Spaun
      Pages 655-670
    5. Andrew W. Senior, Sharathchandra Pankanti
      Pages 671-691
  7. Back Matter
    Pages 693-699

About this book


The history of computer-aided face recognition dates back to the 1960s, yet the problem of automatic face recognition – a task that humans perform routinely and effortlessly in our daily lives – still poses great challenges, especially in unconstrained conditions.

This highly anticipated new edition of the Handbook of Face Recognition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following 26 chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions.

Topics and features:

  • Fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems
  • Examines the design of accurate, reliable, and secure face recognition systems
  • Provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications
  • Contains numerous step-by-step algorithms
  • Describes a broad range of applications from person verification, surveillance, and security, to entertainment
  • Presents contributions from an international selection of preeminent experts
  • Integrates numerous supporting graphs, tables, charts, and performance data

This practical and authoritative reference is the essential resource for researchers, professionals and students involved in image processing, computer vision, biometrics, security, Internet, mobile devices, human-computer interface, E-services, computer graphics and animation, and the computer game industry.

Dr. Stan Z. Li is Professor at the National Laboratory of Pattern Recognition, Director of the Center for Biometrics and Security Research, and Director of the R&D Center for Visual Internet of Things, within the Chinese Academy of Sciences. Dr. Anil K. Jain is University Distinguished Professor in the Department of Computer Science and Engineering at Michigan State University, U.S.A.

Editors and affiliations

  • Stan Z. Li
    • 1
  • Anil K. Jain
    • 2
  1. 1.Institute of Automation, Center Biometrics Research & SecurityChinese Academy of ScienceBeijing DongluChina, People's Republic
  2. 2.Dept. Computer Science & EngineeringMichigan State UniversityEast LansingUSA

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