Handbook of Face Recognition (Record no. 186740)

MARC details
000 -LEADER
fixed length control field 05440nam a22006255i 4500
001 - CONTROL NUMBER
control field 978-3-031-43567-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423130248.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031435676
-- 978-3-031-43567-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-43567-6
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK7882.B56
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQP
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM016000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQP
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.248
Edition number 23
245 10 - TITLE STATEMENT
Title Handbook of Face Recognition
Medium [electronic resource] /
Statement of responsibility, etc edited by Stan Z. Li, Anil K. Jain, Jiankang Deng.
250 ## - EDITION STATEMENT
Edition statement 3rd ed. 2024.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XIX, 469 p. 172 illus., 161 illus. in color.
Other physical details online resource.
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-- text
-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- rdacarrier
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-- text file
-- PDF
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505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Part I: Introduction and Background -- 1. Overview on Face recognition -- 2. Historical Developments and Challenges -- 3. Applications -- Part II: Fundamentals of Deep Neural Networks -- 4. Overview on Deep Learning for FR -- 5. Deep Neural Network Architecture Design -- 6. Loss Function Design -- 7. Auto-Encoders -- 8. Convolutional Neural Networks -- 9. Generative Adversarial Networks -- 10. Transfer Learning and Domain Adaptation -- 11. Deep Learning with Big/Small Data -- 12. Model Compression and Speedup -- 13. Programming Platforms for Deep Learning -- Part III: Face Recognition by Deep Neural Networks -- 14. Overview on Face Recognition Methods -- 15. Preprocessing Methods -- 16. Face Localization Detection -- 17. Face Localization Landmark -- 18. Visual Face Recognition -- 19. Multispectral Face Recognition -- 20. Fusion for Face Recognition.
520 ## - SUMMARY, ETC.
Summary, etc The history of computer-aided face recognition dates 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 provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational recognition systems. After a thorough introduction, each subsequent chapter focuses 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 detection and recognition systems Provides comprehensive coverage of face detection, alignment, feature extraction, and recognitiontechnologies, 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 an 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 Chair Professor of Artificial Intelligence at Westlake University, Hangzhou, China. His Springer titles include Encyclopedia of Biometrics (with Dr. Jain) and Handbook of Remote Biometrics, among others. Dr. Anil K. Jain is a University Distinguished Professor in the Department of Computer Science and Engineering at Michigan State University, USA. His Springer titles include Introduction to Biometrics and Handbook of Fingerprint Recognition, among others. Jiankang Deng is a researcher and honorary lecturer at the Department of Computing, Imperial College London, UK. He is one of the main contributors to the widely used open-source platform Insight face.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biometric identification.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Image processing
General subdivision Digital techniques.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data protection.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern recognition systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Forensic sciences.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biometrics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine Learning.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Imaging, Vision, Pattern Recognition and Graphics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data and Information Security.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Automated Pattern Recognition.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Forensic Science.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Li, Stan Z.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jain, Anil K.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Deng, Jiankang.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031435669
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031435683
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783031435690
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-43567-6">https://doi.org/10.1007/978-3-031-43567-6</a>
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks-CSE-Springer

No items available.

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