000			04470nam a22004575i 4500
001			978-0-387-27257-3
003			DE-He213
005			20250710083938.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387272573 _a99780387272573
024	7		_a10.1007/b138828 _2doi
082	0	4	_a006.4 _223
100	1		_aLi, Stan Z. _eauthor.
245	1	0	_aHandbook of Face Recognition _h[recurso electrónico] / _cby Stan Z. Li, Anil K. Jain.
264		1	_aNew York, NY : _bSpringer New York, _c2005.
300			_aX, 398 p. 210 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aFace Detection -- Modeling Facial Shape and Appearance -- Parametric Face Modeling and Tracking -- Illumination Modeling for Face Recognition -- Facial Skin Color Modeling -- Color Plates for Chapters 6 and 15 -- Face Recognition in Subspaces -- Face Tracking and Recognition from Video -- Face Recognition Across Pose and Illumination -- Morphable Models of Faces -- Facial Expression Analysis -- Face Synthesis -- Face Databases -- Evaluation Methods in Face Recognition -- Psychological and Neural Perspectives on Human Face Recognition -- Face Recognition Applications.
520			_aIncreased 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
650		0	_aCOMPUTER SCIENCE.
650		0	_aARTIFICIAL INTELLIGENCE.
650		0	_aCOMPUTER VISION.
650		0	_aOPTICAL PATTERN RECOGNITION.
650	1	4	_aCOMPUTER SCIENCE.
650	2	4	_aPATTERN RECOGNITION.
650	2	4	_aCOMPUTER IMAGING, VISION, PATTERN RECOGNITION AND GRAPHICS.
650	2	4	_aIMAGE PROCESSING AND COMPUTER VISION.
650	2	4	_aARTIFICIAL INTELLIGENCE (INCL. ROBOTICS).
700	1		_aJain, Anil K. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387405957
856	4	0	_uhttp://dx.doi.org/10.1007/b138828 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SCS
942			_2ddc _cER
999			_c56649 _d56649