Performance Driven Facial Animation by Appearance Based Tracking | Zendy

José M. Buenaposada | Zendy; Enrique Muñoz | Zendy; Luis Baumela | Zendy

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Performance Driven Facial Animation by Appearance Based Tracking

Author(s) -

José M. Buenaposada,

Enrique Muñoz,

Luis Baumela

Publication year - 2005

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-26153-2

DOI - 10.1007/11492429_58

Subject(s) - computer science , computer vision , animation , artificial intelligence , facial motion capture , computer facial animation , face (sociological concept) , computer animation , computer graphics (images) , tracking (education) , eye tracking , facial recognition system , pattern recognition (psychology) , face detection , psychology , social science , pedagogy , sociology

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.

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