Machine-based Intelligent Face Recognition discusses the general engineering method of imitating intelligent human brains for video-based face recognition in a fundamental way, which is completely unsupervised, automatic, self-learning, self-updated and robust. It also overviews state-of-the-art research on cognitive-based biometrics and machine-based biometrics, and especially the advances in face recognition. This book is intended for scientists, researchers, engineers, and students in the field of computer vision, machine intelligence, and particularly of face recognition. Dr. Dengpan Mou, Dr.-Ing. and MSc from University of Ulm, Germany, is with Harman/Becker Automotive Systems GmbH, working on video processing, computer vision and machine learning research and development topics.
Author(s): Dengpan Mou
Edition: 1st Edition.
Publisher: Springer
Year: 2010
Language: English
Pages: 188
Cover......Page 1
Machine-based Intelligent
Face Recognition......Page 3
ISBN 9783642007507......Page 4
Preface......Page 6
Acknowledgements......Page 8
Table of Contents
......Page 10
List of Figures......Page 14
List of Tables......Page 16
1.1 Face Recognition—Machine Versus Human......Page 18
1.2 Proposed Approach......Page 20
1.3.1 Recognition in the Future Intelligent Home......Page 23
1.3.2 Automotive......Page 25
1.4 Outline......Page 26
References......Page 27
2.1 Generalized Biometric Recognition......Page 30
2.2.1 Introduction......Page 33
2.2.2 History of Cognitive Science......Page 34
2.2.3 Human Brain Structure......Page 35
2.2.4 Generic Methods in Cognitive Science......Page 38
2.2.5 Visual Function in Human Brain......Page 39
2.2.6 General Cognitive-based Object Recognition......Page 40
2.2.7 Cognitive-based Face Recognition......Page 41
2.2.8 Inspirations from Cognitive-based Face Recognition......Page 45
2.3.2 Biometric Recognition Tasks......Page 46
2.3.3 Enrollment—a Special Biometric Procedure......Page 47
2.3.4 Biometric Methods Overview......Page 48
2.3.5 Fingerprint Recognition......Page 50
2.4 Generalized Face Recognition Procedure......Page 53
2.5.1 Face Detection Categories......Page 54
2.6 Machine-based Face Tracking......Page 56
2.7.1 Overview......Page 58
2.7.2 Benchmark Studies of Face Recognition......Page 59
2.7.3 Some General Terms Used in Face Recognition......Page 61
2.7.4 Recognition Procedures and Methods......Page 62
2.7.5 Video-based Recognition......Page 68
2.7.6 Unsupervised and Fully Automatic Approaches......Page 71
2.8 Summary and Discussions......Page 77
References......Page 78
3.1 Introduction......Page 88
3.2.1 Choice of the Detection Algorithm......Page 90
3.2.3 Face Region Estimation......Page 91
3.3.1 Overview......Page 95
3.3.2 Search Region Estimation......Page 96
3.3.3 Analysis of Temporal Changes......Page 100
3.5 Further Discussions......Page 104
References......Page 106
4.1 Overview......Page 108
4.2 Feature Extraction and Encoding......Page 109
4.3.1 Image-based Classifier......Page 110
4.3.2 Adaptive Similarity Threshold......Page 113
4.3.3 Temporal Filtering......Page 115
4.4 Combined Same Face Decision Algorithms......Page 118
References......Page 123
5.1 Introduction......Page 124
5.2.1 Supervised Learning......Page 125
5.2.2 Unsupervised Learning......Page 126
5.2.3 Clustering Analysis......Page 128
5.3.1 A Fused Clustering Method......Page 130
5.3.2 Parameters in the Proposed Structure......Page 135
5.4 Features of an Optimum Database......Page 139
References......Page 141
6.1 Introduction......Page 142
6.2 States Explorations......Page 143
7.1 Introduction......Page 146
7.2 Typical Hardware Configuration......Page 147
7.3.1 Overview......Page 148
7.3.2 Implementation Efforts......Page 150
7.4 Technology Dependent Parameters......Page 152
7.5 Summary......Page 155
References......Page 156
8.1 Introduction......Page 158
8.2 Performance of Face Detection......Page 159
8.3 Performance of Face Recognition......Page 166
8.4 Performance of Database Construction Algorithms......Page 173
8.5 Overall Performance of the Whole System......Page 175
8.5.2 Offline Version......Page 176
8.6 Summary......Page 178
References......Page 179
Index......Page 182
