Handbook of Face Recognition / Edition 1

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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.

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Product Details

  • ISBN-13: 9780387405957
  • Publisher: Springer-Verlag New York, LLC
  • Publication date: 3/15/2005
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 408
  • Product dimensions: 7.18 (w) x 9.46 (h) x 0.89 (d)

Meet the Author

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.

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Table of Contents

Stan Z. Li and Anil K. Jain

Part I: Face Image Modeling and Representation

Face Recognition in Subspaces
Gregory Shakhnarovich and Baback Moghaddam

Face Subspace Learning
Wei Bian and Dacheng Tao

Local Representation of Facial Features
Joni-Kristian Kämäräinen, Abdenour Hadid and Matti Pietikäinen

Face Alignment Models
Phil Tresadern, Tim Cootes, Chris Taylor and Vladimir Petrović

Morphable Models of Faces
Reinhard Knothe, Brian Amberg, Sami Romdhani, Volker Blanz and Thomas Vetter

Illumination Modeling for Face Recognition
Ronen Basri and David Jacobs

Face Recognition Across Pose and Illumination
Ralph Gross, Simon Baker, Iain Matthews and Takeo Kanade

Skin Color in Face Analysis
J. Birgitta Martinkauppi, Abdenour Hadid and Matti Pietikäinen

Face Aging Modeling
Unsang Park and Anil K. Jain

Part II: Face Recognition Techniques

Face Detection
Stan Z. Li and Jianxin Wu

Facial Landmark Localization
Xiaoqing Ding and Liting Wang

Face Tracking and Recognition in Video
Rama Chellappa, Ming Du, Pavan Turaga and Shaohua Kevin Zhou

Face Recognition at a Distance
Frederick W. Wheeler, Xiaoming Liu and Peter H. Tu

Face Recognition Using Near Infrared Images
Stan Z. Li and Dong Yi

Multispectral Face Imaging and Analysis
Andreas Koschan, Yi Yao, Hong Chang and Mongi Abidi

Face Recognition Using 3D Images
I. Kakadiaris, G. Passalis, G. Toderici, E. Efraty, P. Perakis, D. Chu, S. Shah and T. Theoharis

Facial Action Tracking
Jörgen Ahlberg and Igor S. Pandzic

Facial Expression Recognition
YingLi Tian, Takeo Kanade and Jeffrey F. Cohn

Face Synthesis
Yang Wang, Zicheng Liu and Baining Guo

Part III: Performance Evaluation: Machines and Humans

Evaluation Methods in Face Recognition
P. Jonathon Phillips, Patrick Grother and Ross Micheals

Dynamic Aspects of Face Processing in Humans
Heinrich H. Bülthoff, Douglas W. Cunningham and Christian Wallraven

Face Recognition by Humans and Machines
Alice J. O’Toole

Part IV: Face Recognition Applications

Face Recognition Applications
Thomas Huang, Ziyou Xiong and Zhenqiu Zhang

Large Scale Database Search
Michael Brauckmann and Christoph Busch

Face Recognition in Forensic Science
Nicole A. Spaun

Privacy Protection and Face Recognition
Andrew W. Senior and Sharathchandra Pankanti

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