Handbook of Face Recognition [Hardcover]

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From the reviews: "This book describes recent research in areas of great interest to manage recognition researchers. … The authors give readers an in-depth overview with the good reputation for face recognition and compare various approaches … . The book covers all major components and subareas of designing operational face recognition systems. … I strongly suggest this book to anyone interested in learning more concerning the field of face recognition. … you'll gain some interesting insight to the history as well as the very latest in face recognition research." (Markus Burki, Computing Reviews, April, 2006)

Increased curiosity about face recognition comes from rising public concern for safety, the dependence on identity verification within the digital world, as well as the requirement for face analysis and modeling approaches to multimedia data management and computer entertainment. This authoritative handbook may be the first to provide complete coverage of face recognition, including major established approaches, algorithms, systems, databases, evaluation methods, and applications. Following a thorough introductory chapter through the editors, 15 chapters address the sub-areas and major components required for designing operational face recognition systems. Each chapter focuses over 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 kind of secure, accurate, and reliable face recognition systems *Describes performance evaluation methods and major applications, for example security, person verification, Internet communication, and computer entertainment *Integrates numerous supporting graphs, tables, charts, and performance data This accessible, practical reference is surely 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, along with the 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 inside the department of computer science and engineering at Michigan State University, also as being a fellow from 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