Automated Face Analysis: Emerging Technologies and Research

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ISBN: 9781605662169 | 160566216X
Cover: Hardcover
Copyright: 3/31/2009

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Since research on face recognition began in the 1960's, the field has rapidly widened to automated face analysis including face detection, facial gesture recognition, and facial expression recognition.

Preface	p. vi
Acknowledgment	p. ix
Introduction	p. 1
Roles of the Face in the Human Communication	p. 1
Goals of the Automated Face Analysis	p. 2
References	p. 4
Face and Eye Detection	p. 5
AdaBoost	p. 7
Modified Census Transform	p. 9
Face Detection Using Face Certainty Map	p. 11
Eye Detection Using MCT-Based Feature Correlation	p. 18
Face Disguise Discrimination using AdaBoost Learning	p. 31
Conclusion	p. 39
References	p. 42
Face Modeling	p. 45
Active Shape Models	p. 46
Active Appearance Models	p. 48
AAM with Stereo Vision	p. 54
A View-Based AAM Approach for Pose-Invariant Representation	p. 58
A Unified Gradient-Based Approach for Combining ASM into AAM	p. 73
Conclusion	p. 87
References	p. 88
Face Tracking	p. 92
Particle Filters	p. 94
Geometric Head Models	p. 97
Incremental Principle Component Analysis	p. 99
A Naive Approach	p. 101
Background-Robust Face Tracking Using AAM and ACM	p. 103
Pose-Robust Face Tracking Using AAM and CHM	p. 116
Illumination-Robust Face Tracking Using AAM and IPCA	p. 129
Robust Face Tracking Using AAM in Particle Filter Framework	p. 139
Conclusion	p. 156
References	p. 158
Endnotes	p. 162
Face Recognition	p. 163
Mixture Models	p. 165
Embedded Hidden Markov Model	p. 167
Local Feature Analysis	p. 168
Tensor Analysis	p. 170
3D Morphable Models	p. 171
Face Recognition Using Mixture Models	p. 172
Face Recognition Using Embedded HMM	p. 184
Face Recognition Using LFA	p. 199
Face Recognition Using Tensor-Based AAM	p. 203
Face Recognition Using 3D MM	p. 225
Conclusion	p. 245
References	p. 247
Facial Expression Recognition	p. 255
Generalized Discriminant Analysis	p. 257
Bilinear Models	p. 259
Relative Expression Image	p. 263
Facial Expression Recognition Using AAM Features and GDA	p. 265
Natural Facial Expression Recognition Using Differential AAM and Manifold Learning	p. 271
Subtle Facial Expression Recognition Using Motion Magnification	p. 285
Facial Expression Synthesis Using AAM and Bilinear Model	p. 299
Conclusion	p. 311
References	p. 312
Facial Gesture Recognition	p. 318
Hidden Markov Model	p. 319
Facial Gesture Recognition Using CHM and HMM	p. 321
Facial Gesture-Based TV Remote Controller	p. 322
Conclusion	p. 324
References	p. 324
Human Motion Analysis	p. 326
Scale Adaptive Filters	p. 327
Self Organizing Map	p. 331
Iterative Closest Point Algorithm	p. 332
Human Detection Using Pose-Robust SAFs	p. 333
Hand Gesture Recognition for Controling the Smart Home	p. 337
Hand Gesture Recognition for Understanding Musical Conduction Action	p. 345
2D Body Gesture Recognition Using Forward Spotting Accumulative HMMs	p. 351
3D Body Gesture Recognition Using 3D Articulated Human Motion Body Model	p. 369
Conclusion	p. 389
References	p. 390
Endnote	p. 397
Abbreviation and Symbols	p. 398
Appendix	p. 401
About the Authors	p. 432
Index	p. 433
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Automated Face Analysis: Emerging Technologies and Research

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