MARC Record from harvard_bibliographic_metadata

LEADER: 04677nam a22005175a 4500
001 014157438-0
005 20141003185847.0
008 110823s2011 xxk| o ||0| 0|eng d
020 $a9780857299321
020 $a9780857299314 (ebk.)
020 $a9780857299321
020 $a9780857299314
024 7 $a10.1007/978-0-85729-932-1$2doi
035 $a(Springer)9780857299321
040 $aSpringer
050 4 $aQ337.5
050 4 $aTK7882.P3
072 7 $aCOM016000$2bisacsh
072 7 $aUYQP$2bicssc
082 04 $a006.4$223
100 1 $aLi, Stan Z.,$eeditor.
245 10 $aHandbook of Face Recognition /$cedited by Stan Z. Li, Anil K. Jain.
250 $aSecond Edition.
264 1 $aLondon :$bSpringer London,$c2011.
300 $aXXV, 699p. 293 illus., 190 illus. in color.$bonline resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
505 0 $aIntroduction -- 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.
520 $aThe 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.
520 $aTopics 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,
520 $acomputer 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.
650 20 $aPattern perception.
650 24 $aArtificial Intelligence (incl. Robotics)
650 10 $aComputer science.
650 0 $aArtificial intelligence.
650 0 $aComputer science.
650 0 $aComputer vision.
650 0 $aOptical pattern recognition.
650 24 $aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 24 $aImage Processing and Computer Vision.
700 1 $aJain, Anil K.,$eeditor.
776 08 $iPrinted edition:$z9780857299314
988 $a20140910
906 $0VEN