Unconstrained Face Recognition (eBook)
XII, 244 Seiten
Springer US (Verlag)
978-0-387-29486-5 (ISBN)
Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms.
Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.
Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms.Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.
Contents 7
Preface 10
FUNDAMENTALS, PRELIMINARIES AND REVIEWS 12
Chapter 1 FUNDAMENTALS 13
Chapter 2 PRELIMINARIES AND REVIEWS 27
FACE RECOGNITION UNDER VARIATIONS 52
Chapter 3 SYMMETRIC SHAPE FROM SHADING 53
Chapter 4 GENERALIZED PHOTOMETRIC STEREO 79
Chapter 5 ILLUMINATING LIGHT FIELD 105
Chapter 6 FACIAL AGING 119
FACE RECOGNITION VIA KERNEL LEARNING 136
Chapter 7 PROBABILISTIC DISTANCES IN REPRODUCING KERNEL HILBERT SPACE 137
Chapter 8 MATRIX-BASED KERNEL SUBSPACE ANALYSIS 151
FACE TRACKING AND RECOGNITION FROM VIDEOS 162
Chapter 9 ADAPTIVE VISUAL TRACKING 163
Chapter 10 SIMULTANEOUS TRACKING AND RECOGNITION 180
Chapter 11 PROBABILISTIC IDENTITY CHARACTERIZATION 203
SUMMARY AND FUTURE RESEARCH DIRECTIONS 217
Chapter 12 SUMMARY AND FUTURE RESEARCH DIRECTIONS 218
References 225
Index 243
| Erscheint lt. Verlag | 11.10.2006 |
|---|---|
| Reihe/Serie | International Series on Biometrics | International Series on Biometrics |
| Zusatzinfo | XII, 244 p. 20 illus. |
| Verlagsort | New York |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Grafik / Design |
| Informatik ► Netzwerke ► Sicherheit / Firewall | |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Theorie / Studium ► Kryptologie | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Naturwissenschaften | |
| Schlagworte | algorithms • Computer Science • Performance • Tracking • Video |
| ISBN-10 | 0-387-29486-4 / 0387294864 |
| ISBN-13 | 978-0-387-29486-5 / 9780387294865 |
| Haben Sie eine Frage zum Produkt? |
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