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Reliable Face Recognition Methods

System Design, Implementation and Evaluation

By: Harry Wechsler

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Hardcover | 2 November 2006

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Hardcover
344 Pages

Dimensions(cm)
24.77 x 16.51 x 2.54

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$169.75

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One of the grand challenges for computational intelligence is to understand how people process and recognize faces and to develop automated face recognition systems, one of the major biometric technologies today. Solving the face recognition problem will have a major scientific impact, as recognizing people is the first, and a critical step, towards building intelligent machines that can function in human environments. Reliable Face Recognition Systems is a state-of-the-art survey text that examines the evolution of face-recognition systems as they drive for superior reliability and describes methods being considered and tested for enhancing system design and implementation. Providing the required background and motivation, the book explores new directions in the field and offers specific guidance on the most promising venues for future R&D, as well as realistic performance evaluation. With its well-focused approach and clarity of presentation, this new text/reference is an excellent resource for computer scientists, computer engineers, and other professionals and researchers who need to learn about face recognition. In addition, it is ideally suited to students studying biometrics, pattern recognition, and human-computer interaction.

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You Can Find This Book In

Non-Fiction Psychology Cognition & Cognitive Psychology Computing & I.T.Computer Science Artificial Intelligence Computer Vision Pattern Recognition Graphical & Digital Media Applications Computer Programming & Software Development Graphics Programming Computer Security

Data Encryption Databases

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Paperback

Published: 18th October 2010

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

Reliable Face Recognition Methods

System Design, Implementation and Evaluation

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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