Face Biometrics for Personal Identification (eBook)

Multi-Sensory Multi-Modal Systems

Besma Abidi, Mongi A. Abidi (Herausgeber)

eBook Download: PDF

2007 | 2007
XV, 275 Seiten
Springer Berlin (Verlag)
978-3-540-49346-4 (ISBN)

Infos

This book provides ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems.

Inhalt

Preface 6
Contents 9
1 Introduction 14
1.1 Motivations, General Addressed Problems, Trends, Terminologies 14
1.2 Inside This Book 15
1.3 Evaluation of This Book 18
Space/Time Emerging Face Biometrics 20
2 Pose and Illumination Invariant Face Recognition Using Video Sequences 21
2.1 Introduction 21
2.2 Integrating Illumination and Motion Models in Video 25
2.3 Learning Joint Illumination and Motion Models from Video 28
2.4 Face Recognition From Video 30
2.5 Experimental Results 32
2.6 Conclusions 37
3 Recognizing Faces Across Age Progression 38
3.1 Introduction 38
3.2 Age Difference Classifier 42
3.3 Facial Similarity 47
3.4 Craniofacial Growth Model 49
3.5 Conclusions 53
4 Quality Assessment and Restoration of Face Images in Long Range/ High Zoom Video 54
4.1 Introduction 54
4.2 Database Acquisition 57
4.3 Face Image Quality Assessment 60
4.4 Face Image Enhancement 65
4.5 Result Validation 67
4.6 Conclusions 71
5 Core Faces: A Shift-Invariant Principal Component Analysis ( PCA) Correlation Filter Bank for Illumination- Tolerant Face Recognition 72
5.1 Introduction 72
5.2 Eigenphases vs. Eigenfaces 75
5.3 CoreFaces 79
5.4 Discussion 82
Multi-Sensory Face Biometrics 83
6 Towards Person Authentication by Fusing Visual and Thermal Face Biometrics 84
6.1 Introduction 84
6.2 Method Details 86
6.3 Empirical Evaluation 93
6.4 Conclusion 99
7 Multispectral Face Recognition: Fusion of Visual Imagery with Physiological Information 100
7.1 Introduction 100
7.2 Physiological Feature Extraction from Thermal Images 101
7.3 PCA-Based Feature Extraction from Visual Images 111
7.4 Experimental Results and Discussion 112
7.5 Conclusions 117
8 Feature Selection for Improved Face Recognition in Multisensor Images 118
8.1 Introduction 118
8.2 Phase Congruency Features 120
8.3 Feature Selection 122
8.4 Image Fusion 123
8.5 Experimental Results 124
8.6 Conclusion 129
Multimodal Face Biometrics 130
9 Multimodal Face and Speaker Identification for Mobile Devices 131
9.1 Introduction 131
9.2 Person Identification Technologies 132
9.3 Multimodal Person ID on a Handheld Device 136
9.4 The Use of Dynamic Lip-Motion Information 140
9.5 Noise Robust Speaker Identification 142
9.6 Summary 146
10 Quo Vadis: 3D Face and Ear Recognition? 147
10.1 Introduction 147
10.2 RelatedWork 148
10.3 Methods 150
10.4 3D Face Recognition 158
10.5 3D Ear Recognition 165
10.6 Conclusion 172
11 Human Recognition at a Distance in Video by Integrating Face Profile and Gait 173
11.1 Introduction 173
11.2 Technical Approach 174
11.3 Experimental Results 186
11.4 Conclusions 189
Generic Approaches to Multibiometric Systems 190
12 Fusion Techniques in Multibiometric Systems 191
12.1 Introduction 191
12.2 Multibiometric Systems 194
12.3 Taxonomy of Multibiometric Systems 196
12.4 Levels of Fusion 199
12.5 Summary 218
13 Performance Prediction Methodology for Multibiometric Systems 219
13.1 Introduction 219
13.2 Stochastic Model for Multimodal Biometric Signatures 221
13.3 Performance of a Multimodal Biometric Recognition System with M Templates 222
13.4 Recognition Capacity 227
13.5 Examples 228
13.6 Summary 233
Acknowledgment 233
Acknowledgments, Biographies, References and Index items 234
14 Acknowledgments 235
15 Biographies 236
References 249
Index 274

Produkt-Details

• Erscheint lt. Verlag: 8.4.2007
• Reihe/Serie: Signals and Communication Technology
• Zusatzinfo: XV, 275 p.
• Verlagsort: Berlin
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Naturwissenschaften ► Biologie
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: 3D • algorithm • algorithms • biometrics • Cognition • face recognition • fast searching • Filters • fingerprint • Fusion Methodologies • identity recognition • Imaging • Information • metrics • Multi-Biometrics • Performance • Security Systems • Temperature • Thermal/Reflectance Signatures
• ISBN-10: 3-540-49346-8 / 3540493468
• ISBN-13: 978-3-540-49346-4 / 9783540493464