Facial Analysis from Continuous Video with Applications to Human-Computer Interface
Language: English
Published by Springer US, 2004
- Hardcover
- New
Condition: New
£ 79.69
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a learning technique based on information-theoretic discrimination which is used to construct face and facial feature detectorsDescribes a real-time system for face and facial feature detection and tracking in continuous videoPresents a pro.
Seller Inventory # 4095309
- Title
- Facial Analysis from Continuous Video with Applications to Human-Computer Interface
- Author
- Antonio J. Colmenarez|Ziyou Xiong|T-S. Huang
- Publisher
- Springer US
- Publication year
- 2004
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 1402078021
- ISBN 13
- 9781402078026
- Dimensions
- 1.5 x 24.2 x 16.3
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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| Item | 16 to 45 business days | 16 to 45 business days |
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