Handbook of Face Recognition

Buch | Softcover

699 Seiten

2016 | Softcover reprint of the original 2nd ed. 2011
Springer London Ltd (Verlag)
978-1-4471-7119-5 (ISBN)

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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. 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.

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.

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.

Erscheinungsdatum	27.05.2022
Zusatzinfo	190 Illustrations, color; 103 Illustrations, black and white; XV, 699 p. 293 illus., 190 illus. in color.
Verlagsort	England
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-10	1-4471-7119-5 / 1447171195
ISBN-13	978-1-4471-7119-5 / 9781447171195
Zustand	Neuware