Conference Paper 2013

Statistical Analysis of 3D Faces in Motion

Thumb ticker sm bild
Perceiving Systems
  • Research Scientist
Facesinmotion

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.

Author(s): Timo Bolkart and Stefanie Wuhrer
Book Title: International Conference on 3D Vision (3DV)
Pages: 103--110
Year: 2013
Month: June
Bibtex Type: Conference Paper (inproceedings)
Event Name: 3D Vision (3DV)
Event Place: Seattle, USA
Electronic Archiving: grant_archive
Links:

BibTex

@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},
  slug = {bolkartwuhrere_3dv_2013},
  author = {Bolkart, Timo and Wuhrer, Stefanie},
  month_numeric = {6}
}