Face Processing and Applications to Distance Learning
Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Artificial Intelligence, General Computing
| Author: | Vuong Le, Pooya Khorrami, Usman Tariq;Hao Tang;Thomas Huang | ISBN: | 9789814733045 |
| Publisher: | World Scientific Publishing Company | Publication: | March 30, 2016 |
| Imprint: | WSPC | Language: | English |
| Author: | Vuong Le, Pooya Khorrami, Usman Tariq;Hao Tang;Thomas Huang |
| ISBN: | 9789814733045 |
| Publisher: | World Scientific Publishing Company |
| Publication: | March 30, 2016 |
| Imprint: | WSPC |
| Language: | English |
This special compendium provides a concise and unified vision of facial image processing. It addresses a collection of state-of-the-art techniques, covering the most important areas for facial biometrics and behavior analysis. These techniques also converge to serve an emerging practical application of interactive distance learning.
Readers will get a broad picture of the fundamental science of the field and technical details that make the research interesting. Moreover, the intellectual investigation motivated by the demand of real-life application will make this volume an inspiring read for current and prospective researchers and engineers in the fields of computer vision, machine learning and image processing.
Contents:
- Introduction
- Facial Expression Recognition
- 3D Face Modeling
- Eye Gaze Estimation
- Expressive Audio-visual Avatar
- Model Based Video Encoding
- Student Engagement Monitoring
- Conclusion and Future Work
Readership: Researchers, academics, professionals and graduate students in machine perception/computer vision, artificial intelligence, pattern recognition and computer engineering.
This special compendium provides a concise and unified vision of facial image processing. It addresses a collection of state-of-the-art techniques, covering the most important areas for facial biometrics and behavior analysis. These techniques also converge to serve an emerging practical application of interactive distance learning.
Readers will get a broad picture of the fundamental science of the field and technical details that make the research interesting. Moreover, the intellectual investigation motivated by the demand of real-life application will make this volume an inspiring read for current and prospective researchers and engineers in the fields of computer vision, machine learning and image processing.
Contents:
- Introduction
- Facial Expression Recognition
- 3D Face Modeling
- Eye Gaze Estimation
- Expressive Audio-visual Avatar
- Model Based Video Encoding
- Student Engagement Monitoring
- Conclusion and Future Work
Readership: Researchers, academics, professionals and graduate students in machine perception/computer vision, artificial intelligence, pattern recognition and computer engineering.
