Reliable Face Recognition Methods (eBook)

System Design, Implementation and Evaluation

Harry Wechsler (Autor)

eBook Download: PDF

2009 | 2007
XIII, 329 Seiten
Springer US (Verlag)
978-0-387-38464-1 (ISBN)

Infos

This book seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields of endeavor. These include neurosciences, statistics, signal and image processing, computer vision, machine learning and data mining. The book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future research and development. The book's focused approach and its clarity of presentation make this an excellent reference work.

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One of the challenges for computational intelligence and biometrics is to understand how people process and recognize faces and to develop automated and reliable face recognition systems. Biometrics has become the major component in the complex decision making process associated with security applications. The many challenges addressed for face detection and authentication include cluttered environments, occlusion and disguise, temporal changes, robust training and open set testing.Reliable Face Recognition Methods seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields of endeavor such as neurosciences, statistics, signal and image processing, computer vision, machine learning and data mining. This book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future research and development.Endorsements by: Ruud Bolle (IBM), John Daugman (Cambridge University, UK), David Zhang (Hong Kong Polytechnic University, China), Stan Li (Chinese Academy of Sciences, China), Tom Huang (University of Illinois, USA). 

Inhalt

Contents 6
Preface 9
1. Introduction 12
2. The Human Face 26
3. Modeling and Prediction 46
4. Data Collection 64
5. Face Representation 75
6. Face Recognition 107
7. Face in a Crowd 131
8. 3D 164
9. Data Fusion 178
10. Denial and Deception 200
11. Augmented Cognition 220
12. Performance Evaluation 230
13. Error Analysis 248
14. Security and Privacy 266

Produkt-Details

• Erscheint lt. Verlag: 5.4.2009
• Zusatzinfo: XIII, 329 p.
• Verlagsort: New York
• Sprache: englisch
• Themenwelt: Informatik ► Grafik / Design ► Digitale Bildverarbeitung
• Themenwelt: Informatik ► Netzwerke ► Sicherheit / Firewall
• Themenwelt: Mathematik / Informatik ► Informatik ► Software Entwicklung
• Themenwelt: Informatik ► Theorie / Studium ► Algorithmen
• Themenwelt: Informatik ► Theorie / Studium ► Kryptologie
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Naturwissenschaften
• Schlagworte: 3D • 3D and Animation • biometrics • computer vision • data fusion • Data Mining • Face Detection and Authentication • Facial Neuroscience and Psychophysics • Human-Computer Interaction (HCI) • Image Processing • Intelligence • learning • machine learning • Modeling • Occlusion and Disguise • pattern recognition • Performance • Performance Evaluation and Error Analysis • Security and Privacy • Statistical Modeling and Prediction • Statistics • Video Processing
• ISBN-10: 0-387-38464-2 / 0387384642
• ISBN-13: 978-0-387-38464-1 / 9780387384641