Performance Driven Facial Animation by Appearance Based Tracking

We present a method that estimates high level animation parameters (muscle contractions, eye movements, eye lids opening, jaw motion and lips contractions) from a marker-less face image sequence. We use an efficient appearance-based tracker to stabilise images of upper (eyes and eyebrows) and lower (mouth) face. By using a set of stabilised images with known animation parameters, we can learn a re-animation matrix that allows us to estimate the parameters of a new image. The system is able to re-animate a 32 DOF 3D face model in real-time.

• Type: Conference
• Year: 2005
• Where: IBPRIA
• Authors: José Miguel Buenaposada, Enrique Muñoz, Luis Baumela
• Keywords: Animation Parameters, Face Image Sequence, IBPRIA 2005, Image Analysis, Level Animation Parameters