Reliable Face Recognition Methods: System Design, Implementation and Evaluation / Edition 1

Reliable Face Recognition Methods: System Design, Implementation and Evaluation / Edition 1

by Harry Wechsler
     
 

ISBN-10: 038722372X

ISBN-13: 9780387223728

Pub. Date: 11/02/2006

Publisher: Springer US

One of the grand 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 face detection and authentication challenges

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Overview

One of the grand 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 face detection and authentication challenges addressed include cluttered environments, image variability, occlusion and disguise, and temporal changes all within open set recognition.

Reliable Face Recognition Methods: System Design, Implementation and Evaluation comprehensively explores the face recognition problem while drawing inspiration from complementary disciplines such as neurosciences, statistics, signal and image processing, computer vision, and machine learning and pattern recognition. This book also examines the evolution of face recognition research and explores promising new avenues for research and development.

Reliable Face Recognition Methods: System Design, Implementation and Evaluation benefits graduate-level students, researchers, and practitioners, as well as government and industry decision makers in the security arena.

Ruud Bolle (IBM): "Harry Wechsler’s monograph provides a thorough, up-to-date, and in-depth overview of the many advances in the area of face recognition. …gives an excellent overview of the issues related to security and privacy when it comes to automated biometrics. In summary, this book has the potential to become a classic. Harry Wechsler is to be commended for undertaking the monumental task of writing this book."

John Daugman (Cambridge University, UK):
"The book looks excellent. The topic is timely, and the perspective—multi-disciplinary, measured, and objective – is much needed and welcome. I believe that Wechsler's latest book will make a valued contribution to this important field and will become a standard."

David Zhang (Hong Kong Polytechnic University, China):
"From a system view, this book shows an excellent arrangement, from data collection to face recognition, as well as system performance evaluation and error analysis. This book can serve both as an interdisciplinary text and a research reference. Each chapter provides the background and impetus for understanding the problems discussed."

Stan Li (Chinese Academy of Sciences, China):
"The book treats the subject of face recognition in a fairly systematic way.
The book covers most relevant topics in face recognition, in a well organized way. The information is also useful for experts. The manuscript is easy to read."

Tom Huang (University of Illinois, USA):
"Harry Wechsler is without doubt one of the leading authorities in face
recognition and related topics. We have recently seen a number of excellent edited books on Face Recognition. However, Wechsler's book is the first unified treatment of this important subject. In my opinion, Wechsler is one of only a handful of people in the world who could write such a comprehensive, unified, informative, perceptive, and authoritative book on Face Recognition. Harry Wechsler so far, is the only one of this handful who took the time and effort to realize such a project. The book certainly will have a great positive impact on the biometrics research community. But also, because it looks at Face Recognition from different perspectives, it will be welcomed by non-experts."

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Product Details

ISBN-13:
9780387223728
Publisher:
Springer US
Publication date:
11/02/2006
Edition description:
2007
Pages:
329
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

Table of Contents


Preface     xi
Introduction     1
Tasks and Protocols     4
Biometrics System Design     7
History     8
Road Map     13
The Human Face     15
Cognitive Neurosciences     16
Psychophysics     19
The Social Face     26
Aesthetics and Arts     30
Modeling and Prediction     35
Bayesian Inference     37
Connectionism     40
Regularization     43
Structural Risk Minimization     44
Transduction     48
Generative and Discriminative Methods     50
Data Collection     53
Sensing     53
Standards     56
Data Compression     58
Face Representation     65
The Face Space     65
Scale Space     68
Invariance     72
Subspace Methods     74
Feature Selection     80
Caricatures     85
Kernel Methods     91
Color     94
Face Recognition     97
Metrics     97
Verification and Identification     99
Open Set Recognition     102
Watch List and Surveillance     107
Recognition-by-Parts     110
Face Selection     115
Categorization     116
Morphometrics     118
Face in a Crowd     121
Face Detection     121
Eye Detection     125
Uncertainty     128
Active Learning and Evidence Accumulation     130
Video Break Detection and Key Frame Extraction     135
Pose Detection and Manifolds     137
Tracking and Recognition from Video     143
Spatio-Temporal Subspace Analysis Using 3D ICA     150
3D     155
Sensing     156
Analysis by Synthesis     159
Animation     160
Modeling and Recognition     162
Data Fusion     169
Multiple Cues     169
Multiple Engines     171
Voting Schemes     174
Multiple Samples     177
Multimodal Sensory Integration     179
Soft Biometrics     181
Boosting and Strangeness     182
Denial and Deception     191
Human Biases      192
Camouflage     193
Aliveness Detection     195
Hallucinations     196
Asymmetric Faces     197
Adaptive and Robust Correlation Filters     199
Associative, Distributed and Holographic Memories     208
Augmented Cognition     213
Paralanguage     214
Face Expressions     215
W5+     218
Performance Evaluation     223
Figures of Merit     223
Score Normalization     229
Decision Thresholds     231
Comparative Assessment     233
Data Bases     236
Virtual Samples     240
Error Analysis     243
Confidence Intervals     244
Prevalence and Fallacies     248
Pattern Specific Error Inhomogeneities     251
Large Scale Biometric Evaluations     255
Security and Privacy     261
Diversity and Uniqueness     264
Regeneration of Face Images from Biometric Templates     266
Cryptography     267
Steganography and Digital Watermarking     268
Anonymity     270
Photofits     273
e-Science and Computing      275
Epilogue     283
References     289
Index     323

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