Handbook of Face Recognition - Softcover

Review

From the reviews:

"This book describes recent research in areas of interest to face recognition researchers. ... The authors give readers an in-depth overview of the history of face recognition and compare various approaches ... . The book covers all major components and subareas of designing operational face recognition systems. ... I highly recommend this book to anyone interested in learning more about the field of face recognition. ... you will gain some interesting insight into the history and the very latest in face recognition research." (Markus Burki, Computing Reviews, April, 2006)

From the Back Cover

Increased interest in face recognition stems from rising public concern for safety, the need for identity verification in the digital world, and the need for face analysis and modeling techniques in multimedia data management and computer entertainment.

This authoritative handbook is the first to provide complete coverage of face recognition, including major established approaches, algorithms, systems, databases, evaluation methods, and applications. After a thorough introductory chapter from the editors, 15 chapters address the sub-areas and major components necessary for designing operational face recognition systems. Each chapter focuses on a specific topic, reviewing background information, reviewing up-to-date techniques, presenting results, and offering challenges and future directions.

Features & Benefits:

*Provides comprehensive coverage of the main concepts, including face detection, tracking, alignment, feature extraction, and recognition

*Presents state-of-the-art methods and algorithms for designing face image-processing and recognition systems

*Examines design of secure, accurate, and reliable face recognition systems

*Describes performance evaluation methods and major applications, such as security, person verification, Internet communication, and computer entertainment

*Integrates numerous supporting graphs, tables, charts, and performance data

This accessible, practical reference is an essential resource for scientists and engineers, practitioners, government officials, and students planning to work in image processing, computer vision, biometrics and security, Internet communications, computer graphics, animation, and the computer game industry.

Stan Z. Li leads research programs in face detection and recognition, biometrics, and surveillance at Microsoft and is a senior member of the IEEE. Anil K. Jain is university-distinguished professor in the department of computer science and engineering at Michigan State University, as well as a fellow of the ACM, IEEE, and IAPR.

Key Topics:

Face detection, tracking, and alignment

Performance evaluation

Subspace analysis methods

Illumination and pose modeling

Morphable models of faces

Facial skin-color modeling

Face expression analysis and synthesis

Psychological and neural perspectives

-- Security / Pattern Recognition

-- Intermediate / Advanced