Graphics Reference
In-Depth Information
Chapter 1
INTRODUCTION
This topic is concerned with the computational processing of 3D faces, with
applications in Human Computer Interaction (HCI). It is a disciplinary research
area overlapping with computer vision, computer graphics, machine learning
and HCI. Various aspects of 3D face processing research are addressed in this
topic. For these aspects, we will both survey existing methods and present our
research results.
In the first chapter, this topic introduces the motivation and background of
3D face processing research and gives an overview of our research. Several
research topics will be discussed in more details in the following chapters.
First, we describe methods and systems for modeling the geometry of static
3D face surfaces. Such static models lay basis for both 3D face analysis and
synthesis. To study the motion of human faces, we propose motion models
derived from geometric motion data. Then, the models could be used for both
analysis (e.g. tracking) and synthesis (e.g. animation). In these geometric
motion models, appearance variations caused by motion are missing. How-
ever, these appearance changes are important for both human perception and
computer analysis. Therefore, in the next part of the topic, we propose a flexi-
ble appearance model to enhance the face processing framework. The flexible
appearance model enables efficient and effective treatment of illumination ef-
fects and person-dependency. We will present experimental results to show the
efficacy of our face processing framework in various applications, such as very
low bit-rate face video coding, facial expression recognition, intelligent HCI
environment and etc. Finally this topic discusses future research directions of
face processing.
In the remaining sections of this chapter, we discuss the motivation for 3D
face processing research and then give overviews of our 3D face processing
research.
