Authors:
- Presents a learning technique based on information-theoretic discrimination which is used to construct face and facial feature detectors
- Describes a real-time system for face and facial feature detection and tracking in continuous video
- Presents a probabilistic framework for embedded face and facial expression recognition from image sequences
Part of the book series: International Series on Biometrics (KISB, volume 2)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
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.
Authors and Affiliations
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Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, USA
Antonio J. Colmenarez, Ziyou Xiong, Thomas S. Huang
Bibliographic Information
Book Title: Facial Analysis from Continuous Video with Applications to Human-Computer Interface
Authors: Antonio J. Colmenarez, Ziyou Xiong, Thomas S. Huang
Series Title: International Series on Biometrics
DOI: https://doi.org/10.1007/b101848
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2004
Hardcover ISBN: 978-1-4020-7802-6Published: 31 March 2004
Softcover ISBN: 978-1-4757-7998-1Published: 23 April 2013
eBook ISBN: 978-1-4020-7803-3Published: 17 December 2005
Edition Number: 1
Number of Pages: XXIV, 134
Number of Illustrations: 185 b/w illustrations
Topics: Theory of Computation, Computer Imaging, Vision, Pattern Recognition and Graphics, Artificial Intelligence, Multimedia Information Systems