Face Processing and Applications to Distance Learning

By: Vuong Le, Usman Tariq, Hao Tang, Pooya Khorrami, Thomas S Huang

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eText | 30 March 2016

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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.
Face Processing;Face Modeling;Expression Recognition;Distance Learning;MOOC;Student Monitoring System;Face Tracking;Pose Estimation;Gaze Estimation;Video Coding