Abidi Face Biometrics for Personal Identification

Multi-Sensory Multi-Modal Systems
1. Auflage 2007
ISBN: 978-3-540-49346-4
Verlag: Springer Berlin Heidelberg
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 275 Seiten

Reihe: Signals and Communication Technology

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.

Autoren/Hrsg.

Abidi, Besma

Abidi, Mongi A.

Inhaltsverzeichnis

1;Preface;6
2;Contents;9
3;1 Introduction;14
3.1;1.1 Motivations, General Addressed Problems, Trends, Terminologies;14
3.2;1.2 Inside This Book;15
3.3;1.3 Evaluation of This Book;18
4;Space/Time Emerging Face Biometrics;20
4.1;2 Pose and Illumination Invariant Face Recognition Using Video Sequences;21
4.1.1;2.1 Introduction;21
4.1.2;2.2 Integrating Illumination and Motion Models in Video;25
4.1.3;2.3 Learning Joint Illumination and Motion Models from Video;28
4.1.4;2.4 Face Recognition From Video;30
4.1.5;2.5 Experimental Results;32
4.1.6;2.6 Conclusions;37
4.2;3 Recognizing Faces Across Age Progression;38
4.2.1;3.1 Introduction;38
4.2.2;3.2 Age Difference Classifier;42
4.2.3;3.3 Facial Similarity;47
4.2.4;3.4 Craniofacial Growth Model;49
4.2.5;3.5 Conclusions;53
4.3;4 Quality Assessment and Restoration of Face Images in Long Range/ High Zoom Video;54
4.3.1;4.1 Introduction;54
4.3.2;4.2 Database Acquisition;57
4.3.3;4.3 Face Image Quality Assessment;60
4.3.4;4.4 Face Image Enhancement;65
4.3.5;4.5 Result Validation;67
4.3.6;4.6 Conclusions;71
4.4;5 Core Faces: A Shift-Invariant Principal Component Analysis ( PCA) Correlation Filter Bank for Illumination- Tolerant Face Recognition;72
4.4.1;5.1 Introduction;72
4.4.2;5.2 Eigenphases vs. Eigenfaces;75
4.4.3;5.3 CoreFaces;79
4.4.4;5.4 Discussion;82
5;Multi-Sensory Face Biometrics;83
5.1;6 Towards Person Authentication by Fusing Visual and Thermal Face Biometrics;84
5.1.1;6.1 Introduction;84
5.1.2;6.2 Method Details;86
5.1.3;6.3 Empirical Evaluation;93
5.1.4;6.4 Conclusion;99
5.2;7 Multispectral Face Recognition: Fusion of Visual Imagery with Physiological Information;100
5.2.1;7.1 Introduction;100
5.2.2;7.2 Physiological Feature Extraction from Thermal Images;101
5.2.3;7.3 PCA-Based Feature Extraction from Visual Images;111
5.2.4;7.4 Experimental Results and Discussion;112
5.2.5;7.5 Conclusions;117
5.3;8 Feature Selection for Improved Face Recognition in Multisensor Images;118
5.3.1;8.1 Introduction;118
5.3.2;8.2 Phase Congruency Features;120
5.3.3;8.3 Feature Selection;122
5.3.4;8.4 Image Fusion;123
5.3.5;8.5 Experimental Results;124
5.3.6;8.6 Conclusion;129
6;Multimodal Face Biometrics;130
6.1;9 Multimodal Face and Speaker Identification for Mobile Devices;131
6.1.1;9.1 Introduction;131
6.1.2;9.2 Person Identification Technologies;132
6.1.3;9.3 Multimodal Person ID on a Handheld Device;136
6.1.4;9.4 The Use of Dynamic Lip-Motion Information;140
6.1.5;9.5 Noise Robust Speaker Identification;142
6.1.6;9.6 Summary;146
6.2;10 Quo Vadis: 3D Face and Ear Recognition?;147
6.2.1;10.1 Introduction;147
6.2.2;10.2 RelatedWork;148
6.2.3;10.3 Methods;150
6.2.4;10.4 3D Face Recognition;158
6.2.5;10.5 3D Ear Recognition;165
6.2.6;10.6 Conclusion;172
6.3;11 Human Recognition at a Distance in Video by Integrating Face Profile and Gait;173
6.3.1;11.1 Introduction;173
6.3.2;11.2 Technical Approach;174
6.3.3;11.3 Experimental Results;186
6.3.4;11.4 Conclusions;189
7;Generic Approaches to Multibiometric Systems;190
7.1;12 Fusion Techniques in Multibiometric Systems;191
7.1.1;12.1 Introduction;191
7.1.2;12.2 Multibiometric Systems;194
7.1.3;12.3 Taxonomy of Multibiometric Systems;196
7.1.4;12.4 Levels of Fusion;199
7.1.5;12.5 Summary;218
7.2;13 Performance Prediction Methodology for Multibiometric Systems;219
7.2.1;13.1 Introduction;219
7.2.2;13.2 Stochastic Model for Multimodal Biometric Signatures;221
7.2.3;13.3 Performance of a Multimodal Biometric Recognition System with M Templates;222
7.2.4;13.4 Recognition Capacity;227
7.2.5;13.5 Examples;228
7.2.6;13.6 Summary;233
7.2.7;Acknowledgment;233
8;Acknowledgments, Biographies, References and Index items;234
8.1;14 Acknowledgments;235
8.2;15 Biographies;236
9;References;249
10;Index;274