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Handbook of Face Recognition (Record no. 20995)

000 -LEADER
fixed length control field 04687nam a22004815i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151109.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110823s2011 xxk| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780857299321
978-0-85729-932-1
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q337.5
Classification number TK7882.P3
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.4
Edition number 23
264 #1 -
-- London :
-- Springer London,
-- 2011.
912 ## -
-- ZDB-2-SCS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Li, Stan Z.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Handbook of Face Recognition
Medium [electronic resource] /
Statement of responsibility, etc edited by Stan Z. Li, Anil K. Jain.
250 ## - EDITION STATEMENT
Edition statement Second Edition.
300 ## - PHYSICAL DESCRIPTION
Extent XXV, 699p. 293 illus., 190 illus. in color.
Other physical details online resource.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Computer vision.
Topical term or geographic name as entry element Optical pattern recognition.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Pattern Recognition.
Topical term or geographic name as entry element Computer Imaging, Vision, Pattern Recognition and Graphics.
Topical term or geographic name as entry element Image Processing and Computer Vision.
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jain, Anil K.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9780857299314
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-0-85729-932-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-08AUM Main Library2014-04-08 2014-04-08 E-Book   AUM Main Library006.4
Languages: 
English |
العربية