Facial Analysis from Continuous Video with Applications to Human-Computer Interface
Language: English
Published by Springer US Apr 2013, 2013
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 92.40
Quantity: 2 available
Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware -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. 160 pp. Englisch.…
Seller Inventory # 9781475779981
- Title
- Facial Analysis from Continuous Video with Applications to Human-Computer Interface
- Author
- Antonio J. Colmenarez
- Publisher
- Springer US Apr 2013
- Publication year
- 2013
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1475779984
- ISBN 13
- 9781475779981
- Item weight
- 254 grams
- Dimensions
- 235x155x9 mm
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.
"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.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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