Statistical Analysis of 3D Faces in Motion

@inproceedings{BolkartWuhrere_3DV_2013,
  title = {Statistical Analysis of 3D Faces in Motion},
  booktitle = {International Conference on 3D Vision (3DV) },
  abstract = {We perform statistical analysis of 3D facial shapes in motion over different subjects and different motion sequences. For this, we represent each motion sequence in a multilinear model space using one vector of coefficients for identity and one high-dimensional curve for the motion. We apply the resulting statistical model to two applications: to synthesize motion sequences, and to perform expression recognition. En route to building the model, we present a fully automatic approach to register 3D facial motion data, based on a multilinear model, and show that the resulting registrations are of high quality.},
  pages = {103--110},
  month = jun,
  year = {2013},
  author = {Bolkart, Timo and Wuhrer, Stefanie},
  month_numeric = {6}
}