Structure and appearance features for robust 3D facial actions tracking
Stéphanie Lefèvre and Jean-Marc Odobez
In: IEEE Proc. Int. Conf. on Multimedia and Expo (ICME), New-York, US(2009).
This paper presents a robust and accurate method for joint head pose
and facial actions tracking, even under challenging conditions such
as varying lighting, large head movements, and fast motion. This
is made possible by the combination of two types of facial features.
We use locations sampled from the facial texture whose appearance
is initialized on the first frame and adapted over time, and
also illumination-invariant patches located on characteristic points
of the face such as the corners of the eyes or of the mouth. The
first type of features contains rich information about the global appearance
of the face and thus leads to an accurate tracking, while
the second type guaranties robustness and stability by avoiding drift.
We demonstrate our system on the Boston University Face Tracking
benchmark, and show it outperforms state-of-the-art methods.
|EPrint Type:||Conference or Workshop Item (Oral)|
|Project Keyword:||Project Keyword UNSPECIFIED|
|Deposited By:||Jean-Marc Odobez|
|Deposited On:||08 March 2010|