Learning 3D Face Deformation Model: Methods and Applications - 3D Modeling and Animation: Synthesis and Analysis Techniques for the Human Body - page 317

Chapter X
Learning 3D Face
Deformation Model:
Methods and Applications
Zhen Wen
University of Illinois at Urbana Champaign, USA
Pengyu Hong
Harvard University, USA
Jilin Tu
University of Illinois at Urbana Champaign, USA
Thomas S. Huang
University of Illinois at Urbana Champaign, USA
Abstract
This chapter presents a unified framework for machine-learning-based facial
deformation modeling , analysis and synthesis . It enables flexible, robust face
motion analysis and natural synthesis, based on a compact face motion
model learned from motion capture data. This model, called Motion Units
(MUs), captures the characteristics of real facial motion. The MU space
can be used to constrain noisy low-level motion estimation for robust facial
motion analysis. For synthesis, a face model can be deformed by adjusting
the weights of MUs. The weights can also be used as visual features to learn