Performance driven facial animation using illumination independent appearance-based tracking

Jose M. Buenaposada; Enrique Munoz

doi:10.1109/ICPR.2006.927

Pattern Recognition, International Conference on

Performance driven facial animation using illumination independent appearance-based tracking

Year: 2006, Pages: 303-306

DOI Bookmark: 10.1109/ICPR.2006.927

Authors

Jose M. Buenaposada, ESCET, Universidad Rey Juan Carlos C Tulipan s/n, 28933 Mostoles, Spain
Enrique Munoz, Facultad Informatica, Universidad Politecnica Madrid, Campus de montegancedo s/n, 28660 Madrid, Spain

Abstract

We introduce a procedure to estimate human face high level animation parameters from a marker-less image sequence in presence of strong illumination changes. We use an efficient appearance-based tracker to stabilise face images and estimate illumination variation. This is achieved by using an appearance model composed by two independent linear subspaces modelling face deformation and illumination changes respectively. The system is very simple to train and is able to re-animate a 3D face model in real-time.

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Performance driven facial animation using illumination independent appearance-based tracking

Authors

Abstract

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