Ebook: Facial Analysis from Continuous Video with Applications to Human-Computer Interface
- Tags: Computer Imaging Vision Pattern Recognition and Graphics, Theory of Computation, Artificial Intelligence (incl. Robotics), Multimedia Information Systems
- Series: International Series on Biometrics 2
- Year: 2004
- Publisher: Springer US
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-xxiv
Introduction....Pages 1-4
Information-based Maximum Discrimination....Pages 5-14
Face and Facial Feature Detection....Pages 15-23
Face and Facial Feature Tracking....Pages 25-33
Face and Facial Expression Recognition....Pages 35-41
3-D Model-based Image Communication....Pages 43-73
Implementations, Experiments and Results....Pages 75-115
Application in an Audio-visual Person Recognition System....Pages 117-120
Conclusions....Pages 121-123
Back Matter....Pages 125-134
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.
Content:
Front Matter....Pages i-xxiv
Introduction....Pages 1-4
Information-based Maximum Discrimination....Pages 5-14
Face and Facial Feature Detection....Pages 15-23
Face and Facial Feature Tracking....Pages 25-33
Face and Facial Expression Recognition....Pages 35-41
3-D Model-based Image Communication....Pages 43-73
Implementations, Experiments and Results....Pages 75-115
Application in an Audio-visual Person Recognition System....Pages 117-120
Conclusions....Pages 121-123
Back Matter....Pages 125-134
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