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This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems.
FORMATHardcover LANGUAGEEnglish CONDITIONBrand New Publisher Description
This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: 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; contains numerous step-by-step algorithms; describes a broad range of applications; presents contributions from an international selection of experts; integrates numerous supporting graphs, tables, charts, and performance data.
Notes
Fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systemsProvides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applicationsDescribes a broad range of applications
Back Cover
The history of computer-aided face recognition dates back to the 1960s, yet the problem of automatic face recognition - a task that humans perform routinely and effortlessly in our daily lives - still poses great challenges, especially in unconstrained conditions. This highly anticipated new edition of the Handbook of Face Recognition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following 26 chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Topics and features: Fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems Examines the design of accurate, reliable, and secure face recognition systems Provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications Contains numerous step-by-step algorithms Describes a broad range of applications from person verification, surveillance, and security, to entertainment Presents contributions from an international selection of preeminent experts Integrates numerous supporting graphs, tables, charts, and performance data This practical and authoritative reference is the essential resource for researchers, professionals and students involved in image processing, computer vision, biometrics, security, Internet, mobile devices, human-computer interface, E-services, computer graphics and animation, and the computer game industry. Dr. Stan Z. Li is Professor at the National Laboratory of Pattern Recognition, Director of the Center for Biometrics and Security Research, and Director of the R&D Center for Visual Internet of Things, within the Chinese Academy of Sciences. Dr. Anil K. Jain is University Distinguished Professor in the Department of Computer Science and Engineering at Michigan State University, U.S.A.
Author Biography
Dr. Stan Z. Li is Professor at the National Laboratory of Pattern Recognition, Director of the Center for Biometrics and Security Research, and Director of the R&D Center for Visual Internet of Things, within the Chinese Academy of Sciences. Dr. Anil K. Jain is University Distinguished Professor in the Department of Computer Science and Engineering at Michigan State University, U.S.A.
Table of Contents
Introduction.- Face Recognition in Subspaces.- Face Subspace Learning.- Local Representation of Facial Features.- Face Alignment Models.- Morphable Models of Faces.- Illumination Modeling for Face Recognition.- Face Recognition Across Pose and Illumination.- Skin Color in Face Analysis.- Face Aging Modeling.- Face Detection.- Facial Landmark Localization.- Face Tracking and Recognition in Video.- Face Recognition at a Distance.- Face Recognition Using Near Infrared Images.- Multispectral Face Imaging and Analysis.- Face Recognition Using 3D Images.- Facial Action Tracking.- Facial Expression Recognition.- Face Synthesis.- Evaluation Methods in Face Recognition.- Dynamic Aspects of Face Processing in Humans.- Face Recognition by Humans and Machines.- Face Recognition Applications.- Large Scale Database Search.- Face Recognition in Forensic Science.- Privacy Protection and Face Recognition.
Long Description
The history of computer-aided face recognition dates back to the 1960s, yet the problem of automatic face recognition - a task that humans perform routinely and effortlessly in our daily lives - still poses great challenges, especially in unconstrained conditions. This highly anticipated new edition of the Handbook of Face Recognition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following 26 chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Topics and features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems; examines the design of accurate, reliable, and secure face recognition systems; provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications; contains numerous step-by-step algorithms; describes a broad range of applications from person verification, surveillance, and security, to entertainment; presents contributions from an international selection of preeminent experts; integrates numerous supporting graphs, tables, charts, and performance data. This practical and authoritative reference is the essential resource for researchers, professionals and students involved in image processing, computer vision, biometrics, security, Internet, mobile devices, human-computer interface, E-services, computer graphics and animation, and the computer game industry.
Feature
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
Details ISBN085729931X Publisher Springer London Ltd Year 2011 Edition 2nd ISBN-10 085729931X ISBN-13 9780857299314 Format Hardcover Publication Date 2011-08-22 Imprint Springer London Ltd Place of Publication England Country of Publication United Kingdom Edited by Anil K. Jain DEWEY 006.42 Birth 1948 Affiliation Chinese Academy of Sciences Language English Media Book Short Title HANDBK OF FACE RECOGNITION 201 Replaces 9780387405957 Pages 699 Illustrations 190 Illustrations, color; 103 Illustrations, black and white; XV, 699 p. 293 illus., 190 illus. in color. DOI 10.1007/978-0-85729-932-1 AU Release Date 2011-08-22 NZ Release Date 2011-08-22 UK Release Date 2011-08-22 Author Anil K. Jain Edition Description 2nd ed. 2011 Alternative 9781447171195 Audience Professional & Vocational We've got this
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