Face recognition has been actively studied recently, and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. This is a comprehensive review of the facial biometric, especially face recognition from video. 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.
Reihe
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Researchers and practitioners in industry
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Illustrationen
20
20 s/w Abbildungen
XII, 244 p. 20 illus.
Maße
Höhe: 242 mm
Breite: 162 mm
Dicke: 19 mm
Gewicht
ISBN-13
978-0-387-26407-3 (9780387264073)
DOI
10.1007/978-0-387-29486-5
Schweitzer Klassifikation
Fundamentals, Preliminaries and Reviews.- Fundamentals.- Preliminaries and Reviews.- Face Recognition Under Variations.- Symmetric Shape from Shading.- Generalized Photometric Stereo.- Illuminating Light Field.- Facial Aging.- Face Recognition Via Kernel Learning.- Probabilistic Distances in Reproducing Kernel Hilbert Space.- Matrix-Based Kernel Subspace Analysis.- Face Tracking and Recognition from Videos.- Adaptive Visual Tracking.- Simultaneous Tracking and Recognition.- Probabilistic Identity Characterization.- Summary and Future Research Directions.- Summary and Future Research Directions.