Editors:
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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Front Matter
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Face Image Modeling and Representation
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Front Matter
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About this book
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
Bibliographic Information
Book Title: Handbook of Face Recognition
Editors: Stan Z. Li, Anil K. Jain
DOI: https://doi.org/10.1007/978-0-85729-932-1
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Limited 2011
Hardcover ISBN: 978-0-85729-931-4Published: 22 August 2011
Softcover ISBN: 978-1-4471-7119-5Published: 23 August 2016
eBook ISBN: 978-0-85729-932-1Published: 22 August 2011
Edition Number: 2
Number of Pages: XV, 699
Number of Illustrations: 103 b/w illustrations, 190 illustrations in colour
Topics: Pattern Recognition, Computer Imaging, Vision, Pattern Recognition and Graphics, Image Processing and Computer Vision, Artificial Intelligence