Authors:
- Well-focused approach and clarity of presentation make this an excellent reference work
- Unique state-of-the-art survey text examines the evolution of face-recognition systems as they drive for superior reliability and describes methods being considered and tested for enhancing system design and implementation
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Table of contents (16 chapters)
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Front Matter
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Back Matter
About this book
One of the challenges for computational intelligence and biometrics is to understand how people process and recognize faces and to develop automated and reliable face recognition systems. Biometrics has become the major component in the complex decision making process associated with security applications. The many challenges addressed for face detection and authentication include cluttered environments, occlusion and disguise, temporal changes, robust training and open set testing.
Reliable Face Recognition Methods seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields of endeavor such as neurosciences, statistics, signal and image processing, computer vision, machine learning and data mining. This book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future research and development.
Endorsements by: Ruud Bolle (IBM), John Daugman (Cambridge University, UK), David Zhang (Hong Kong Polytechnic University, China), Stan Li (Chinese Academy of Sciences, China), Tom Huang (University of Illinois, USA).
Authors and Affiliations
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Dept. of Computer Science, George Mason University, Fairfax, USA
Harry Wechsler
Bibliographic Information
Book Title: Reliable Face Recognition Methods
Book Subtitle: System Design, Implementation and Evaluation
Authors: Harry Wechsler
DOI: https://doi.org/10.1007/978-0-387-38464-1
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-22372-8Published: 02 November 2006
Softcover ISBN: 978-1-4419-3548-9Published: 18 October 2010
eBook ISBN: 978-0-387-38464-1Published: 05 April 2009
Edition Number: 1
Number of Pages: XIII, 329
Topics: Pattern Recognition, Image Processing and Computer Vision, Cryptology, Data Structures and Information Theory, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer Graphics