3D Face Processing
Modeling, Analysis and Synthesis (The International Series in Video Computing)
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|Format: ||Hardcover, 137 pages, 2004 Edition|
|Other Information: ||biography|
|Published In: ||United States, 01 June 2004|
This monograph is an essential reference for both academic and professional researchers working in the fields of computer vision, surveillance, HCI, image processing, and modeling. The human face provides important visual cues for human-human communication and human-computer interaction (HCI). With the advances in new information techniques and media, 3D face processing techniques will help an intelligent HCI system interpret and deliver more natural multimedia information related to human faces. 3D Face Processing: Modeling, Analysis and Synthesis introduces the frontiers of 3D face processing techniques. It reviews existing 3D face processing techniques, including techniques for 3D face geometry modeling; 3D face motion modeling; and 3D face motion tracking and animation. Then it discusses a unified framework for face modeling, analysis and synthesis. In this framework, the authors present new methods for modeling complex natural facial motion, as well as face appearance variations due to illumination and subtle motion. Then the authors apply the framework to face tracking, expression recognition and face avatar for HCI interface. They conclude this book with comments on future work in the 3D face processing framework. 3D Face Processing: Modeling, Analysis and Synthesis will interest those working in face processing for intelligent human computer interaction and video surveillance. It contains a comprehensive survey on existing face processing techniques, which can serve as a reference for students and researchers. It also covers in-depth discussion on face motion analysis and synthesis algorithms, which will benefit more advanced graduate students and researchers.
Table of Contents
List of Figures. List of Tables. Preface. Acknowledgements. 1: Introduction. 1. Motivation. 2. Research Topics Overview. 3. Book Organization. 2: 3D Face Modeling. 1. State of the Art. 2. Face Modeling Tools in iFACE. 3. Future Research Direction of 3D Face Modeling. 3: Learning Geometric 3D Facial Motion Model. 1. Previous Work. 2. Motion Capture Database. 3. Learning Holistic Linear Subspace. 4. Learning Parts-Based Linear Subspace. 5. Animate Arbitrary Mesh Using MU. 6. Temporal Facial Motion Model. 7. Summary. 4: Geometric Model-Based 3D Face Tracking. 1. Previous Work. 2. Geometric MU-Based 3D Face Tracking. 3. Applications of Geometric 3D Face Tracking. 4. Summary. 5: Geometrical Face Motion Synthesis. 1. Previous Work. 2. Facial Motion Trajectory Synthesis. 3. Text-Driven Face Animation. 4. Offline Speech-Driven Face Animation. 5. Real-Time Speech-Driven Face Animation. 6. Summary. 6: Flexible Appearance Model. 1. Previous Work. 2. Flexible Appearance Model. 3. Summary. 7: Facial Motion Analysis Using Flexible Appearance Model. 1. Model-Based 3D Face Motion Analysis Using both Geometry and Appearance. 2. Experimental Results. 3. Summary. 10. Conclusion and Future Work. 1. Conclusion. 2. Future Work.
Springer-Verlag New York Inc.|
24.28 x 15.8 x 1.52 centimetres (0.91 kg)|
15+ years |