LEARNING GEOMETRIC 3D FACIAL MOTION MODEL - 3D Face Processing: Modeling, Analysis and Synthesis - page 17

Chapter 3
LEARNING GEOMETRIC 3D FACIAL MOTION
MODEL
In this section, we introduce the method for learning geometric 3D facial
motion model in our framework. 3D facial motion model describes the spatial
and temporal deformation of 3D facial surface. Efficient and effective facial
motion analysis and synthesis requires a compact yet powerful model to capture
real facial motion characteristics. For this purpose, analysis of real facial motion
data is needed because of the high complexity of human facial motion.
We first give a review of previous works on 3D face motion models in Sec-
tion 1. Then, in Section 2, we introduce the motion capture database used in
our framework. Section 3 and 4 present our methods for learning holistic and
parts-based spatial geometric facial motion models, respectively. Section 5
introduces how we apply the learned models to arbitrary face mesh. Finally,
in Section 6, we brief describe the temporal facial motion modeling in our
framework.
1. Previous Work
Since the pioneering work of Parke [Parke, 1972] in the early 70's, many
techniques have been investigated to model facial deformation for 3D face
tracking and animation. A good survey can be found in [Parke and Waters,
1996]. The key issues include (1) how to model the spatial and temporal facial
surface deformation, and (2) how to apply these models for facial deformation
analysis and synthesis. In this section, we introduce previous research on facial
deformation modeling.
1.1 Facial deformation modeling
In the past several decades, many models have been proposed to deform
3D facial surface spatially. Representative models include free-form inter-