Automatic Reconstruction of Personalized Avatars from 3D Face Scans

Michael Zollhoefer (1) , Michael Martinek (2) , Guenther Greiner (2) , Marc Stamminger (2) , Jochen Suessmuth (2)

1 Computer Graphics Group
2 Computer Graphics Group

We present a simple algorithm for computing a high quality personalized avatar from a single color image and the corresponding depth map which have been captured by Microsoft's Kinect sensor. Due to the low market price of our hardware setup, 3D face scanning becomes feasible for home use. The proposed algorithm combines the advantages of robust non-rigid registration and fitting of a morphable face model. We obtain a high quality reconstruction of the facial geometry and texture along with one-to-one correspondences with our generic face model. This representation allows for a wide range of further applications such as facial animation or manipulation. Our algorithm has proven to be very robust. Since it does not require any user interaction, even non-expert users can easily create their own personalized avatars.

Mots clés: Physical Sciences

Michael Zollhoefer, Michael Martinek, Guenther Greiner, Marc Stamminger, Jochen Suessmuth. Automatic Reconstruction of Personalized Avatars from 3D Face Scans. Computer Animation and Virtual Worlds, 2011, 22 (2-3), pp.195. ⟨10.1002/cav.405⟩. ⟨hal-00631256⟩