An edition of Handbook of face recognition (2005)

Handbook of Face Recognition

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Last edited by MARC Bot
August 12, 2024 | History
An edition of Handbook of face recognition (2005)

Handbook of Face Recognition

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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

Publish Date
Publisher
Springer
Language
English
Pages
398

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Previews available in: English

Edition Availability
Cover of: Handbook of Face Recognition
Handbook of Face Recognition
March 15, 2005, Springer
in English

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Book Details


Classifications

Library of Congress
TA1650 .H36 2005, Q337.5, TK7882.P3

ID Numbers

Open Library
OL7445831M
Internet Archive
handbookfacereco00list_434
ISBN 10
038740595X
ISBN 13
9780387405957
LCCN
2004052453
OCLC/WorldCat
55847157
Library Thing
4562881
Goodreads
956381

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
August 12, 2024 Edited by MARC Bot import existing book
December 31, 2022 Edited by MARC Bot import existing book
December 8, 2020 Edited by MARC Bot import existing book
July 1, 2019 Edited by MARC Bot import existing book
April 29, 2008 Created by an anonymous user Imported from amazon.com record