Handbook of Face Recognition -

Handbook of Face Recognition (eBook)

Stan Z. Li, Anil K. Jain (Herausgeber)

eBook Download: PDF
2011 | 2nd ed. 2011
XV, 699 Seiten
Springer London (Verlag)
978-0-85729-932-1 (ISBN)
Systemvoraussetzungen
160,49 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
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.
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.

IntroductionStan Z. Li and Anil K. JainPart I: Face Image Modeling and RepresentationFace Recognition in SubspacesGregory Shakhnarovich and Baback MoghaddamFace Subspace LearningWei Bian and Dacheng TaoLocal Representation of Facial FeaturesJoni-Kristian Kämäräinen, Abdenour Hadid and Matti PietikäinenFace Alignment ModelsPhil Tresadern, Tim Cootes, Chris Taylor and Vladimir PetrovićMorphable Models of FacesReinhard Knothe, Brian Amberg, Sami Romdhani, Volker Blanz and Thomas VetterIllumination Modeling for Face RecognitionRonen Basri and David JacobsFace Recognition Across Pose and IlluminationRalph Gross, Simon Baker, Iain Matthews and Takeo KanadeSkin Color in Face AnalysisJ. Birgitta Martinkauppi, Abdenour Hadid and Matti PietikäinenFace Aging ModelingUnsang Park and Anil K. JainPart II: Face Recognition TechniquesFace DetectionStan Z. Li and Jianxin WuFacial Landmark LocalizationXiaoqing Ding and Liting WangFace Tracking and Recognition in VideoRama Chellappa, Ming Du, Pavan Turaga and Shaohua Kevin ZhouFace Recognition at a DistanceFrederick W. Wheeler, Xiaoming Liu and Peter H. TuFace Recognition Using Near Infrared ImagesStan Z. Li and Dong YiMultispectral Face Imaging and AnalysisAndreas Koschan, Yi Yao, Hong Chang and Mongi AbidiFace Recognition Using 3D ImagesI. Kakadiaris, G. Passalis, G. Toderici, E. Efraty, P. Perakis, D. Chu, S. Shah and T. TheoharisFacial Action TrackingJörgen Ahlberg and Igor S. PandzicFacial Expression RecognitionYingLi Tian, Takeo Kanade and Jeffrey F. CohnFace SynthesisYang Wang, Zicheng Liu and Baining GuoPart III: Performance Evaluation: Machines and HumansEvaluation Methods in Face RecognitionP. Jonathon Phillips, Patrick Grother and Ross MichealsDynamic Aspects of Face Processing in HumansHeinrich H. Bülthoff, Douglas W. Cunningham and Christian WallravenFace Recognition by Humans and MachinesAlice J. O’ToolePart IV: Face Recognition ApplicationsFace Recognition ApplicationsThomas Huang, Ziyou Xiong and Zhenqiu ZhangLarge Scale Database SearchMichael Brauckmann and Christoph BuschFace Recognition in Forensic ScienceNicole A. SpaunPrivacy Protection and Face RecognitionAndrew W. Senior and Sharathchandra Pankanti

Erscheint lt. Verlag 22.8.2011
Zusatzinfo XXV, 699 p. 293 illus., 190 illus. in color.
Verlagsort London
Sprache englisch
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 0-85729-932-8 / 0857299328
ISBN-13 978-0-85729-932-1 / 9780857299321
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 28,1 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Zusätzliches Feature: Online Lesen
Dieses eBook können Sie zusätzlich zum Download auch online im Webbrowser lesen.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Discover the smart way to polish your digital imagery skills by …

von Bradley

eBook Download (2024)
Packt Publishing (Verlag)
29,99
Explore powerful modeling and character creation techniques used for …

von Lukas Kutschera

eBook Download (2024)
Packt Publishing (Verlag)
43,19
Generate creative images from text prompts and seamlessly integrate …

von Margarida Barreto

eBook Download (2024)
Packt Publishing (Verlag)
32,39