Overview
- Editors:
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Stan Z. Li
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Institute of Automation, Center Biometrics Research & Security, Chinese Academy of Science, Beijing Donglu, China, People's Republic
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Anil K. Jain
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Dept. Computer Science & Engineering, Michigan State University, East Lansing, USA
- Fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems
- Provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications
- Describes a broad range of applications
- Includes supplementary material: sn.pub/extras
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Table of contents (27 chapters)
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Face Image Modeling and Representation
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- Gregory Shakhnarovich, Baback Moghaddam
Pages 19-49
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- Joni-Kristian Kämäräinen, Abdenour Hadid, Matti Pietikäinen
Pages 79-108
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- Phil Tresadern, Tim Cootes, Chris Taylor, Vladimir Petrović
Pages 109-135
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- Reinhard Knothe, Brian Amberg, Sami Romdhani, Volker Blanz, Thomas Vetter
Pages 137-168
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- Ronen Basri, David Jacobs
Pages 169-195
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- Ralph Gross, Simon Baker, Iain Matthews, Takeo Kanade
Pages 197-221
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- J. Birgitta Martinkauppi, Abdenour Hadid, Matti Pietikäinen
Pages 223-249
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- Unsang Park, Anil K. Jain
Pages 251-274
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Face Recognition Techniques
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Front Matter
Pages 275-275
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- Xiaoqing Ding, Liting Wang
Pages 305-322
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- Rama Chellappa, Ming Du, Pavan Turaga, Shaohua Kevin Zhou
Pages 323-351
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- Frederick W. Wheeler, Xiaoming Liu, Peter H. Tu
Pages 353-381
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- Andreas Koschan, Yi Yao, Hong Chang, Mongi Abidi
Pages 401-428
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- I. A. Kakadiaris, G. Passalis, G. Toderici, E. Efraty, P. Perakis, D. Chu et al.
Pages 429-459
About this book
This highly anticipated new edition 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 chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and 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; presents contributions from an international selection of experts; integrates numerous supporting graphs, tables, charts, and performance data.
Editors and Affiliations
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Institute of Automation, Center Biometrics Research & Security, Chinese Academy of Science, Beijing Donglu, China, People's Republic
Stan Z. Li
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Dept. Computer Science & Engineering, Michigan State University, East Lansing, USA
Anil K. Jain
About the editors
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.
