Performance driven facial animation by appearance based tracking

  • Authors:
  • José Miguel Buenaposada;Enrique Muñoz;Luis Baumela

  • Affiliations:
  • Dpto. de Informática, Estadística y Telemática, ESCET, Univ. Rey Juan Carlos, Móstoles, Madrid, Spain;Fac. de Informática, Univ. Politécnica de Madrid, Boadilla del Monte, Madrid, Spain;Fac. de Informática, Univ. Politécnica de Madrid, Boadilla del Monte, Madrid, Spain

  • Venue:
  • IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.