Automatic 3D Face Model Adaptation with Two Complexity Modes for Visual Communication - 3D Modeling and Animation: Synthesis and Analysis Techniques for the Human Body - page 295

Chapter IX
Automatic 3D Face
Model Adaptation with
Two Complexity Modes
for Visual
Communication*
Markus Kampmann
Ericsson Eurolab Deutschland GmbH, Germany
Liang Zhang
Communications Research Centre, Canada
Abstract
This chapter introduces a complete framework for automatic adaptation of
a 3D face model to a human face for visual communication applications like
video conferencing or video telephony. First, facial features in a facial
image are estimated. Then, the 3D face model is adapted using the estimated
facial features. This framework is scalable with respect to complexity. Two
complexity modes, a low complexity and a high complexity mode, are
introduced. For the low complexity mode, only eye and mouth features are
estimated and the low complexity face model Candide is adapted. For the