Antonio J. Colmenarez, Ziyou Xiong, T-S. Huang

Facial Analysis from Continuous Video with Applications to Human-Computer Interface

• Gebundenes Buch

Produktbeschreibung

Computer vision algorithms for the analysis of video data are obtained from a camera aimed at the user of an interactive system. It is potentially useful to enhance the interface between users and machines. These image sequences provide information from which machines can identify and keep track of their users, recognize their facial expressions and gestures, and complement other forms of human-computer interfaces.

Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces presents a learning technique based on information-theoretic discrimination which is used to construct face and facial feature detectors. This book also describes a real-time system for face and facial feature detection and tracking in continuous video. Finally, this book presents a probabilistic framework for embedded face and facial expression recognition from image sequences.

Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

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Produktdetails

• International Series on Biometrics 2
• Verlag: Springer / Springer Netherlands / Springer US
• Artikelnr. des Verlages: 978-1-4020-7802-6
• 2004
• Seitenzahl: 160
• Erscheinungstermin: 31. März 2004
• Englisch
• Abmessung: 241mm x 160mm x 14mm
• Gewicht: 384g
• ISBN-13: 9781402078026
• ISBN-10: 1402078021
• Artikelnr.: 14035307

Autorenporträt

Computer vision algorithms for analyzing video data are obtained from a camera focused on the user of an interactive system. Machines can use these image sequences to identify and keep track of their users, recognize their facial expressions and gestures, and complement other forms of human-computer interfaces. This book presents a learning technique based on information-theoretic discrimination, used to construct face and facial feature detectors. It also describes a real-time system for face and facial feature detection and tracking in continuous video, and presents a probabilistic framework for embedded face and facial expression recognition from image sequences.

Inhaltsangabe

Information-based Maximum Discrimination.- Face and Facial Feature Detection.- Face and Facial Feature Tracking.- Face and Facial Expression Recognition.- 3-D Model-based Image Communication.- Implementations, Experiments and Results.- Application in an Audio-visual Person Recognition System.- Conclusions.