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