Automatic Reconstruction of Personalized Avatars from 3D Face Scans

CASA 2011

M. Zollhöfer 1 M. Martinek 1 G. Greiner 1 M. Stamminger 1 J. Süßmuth 1
1 University of Erlangen-Nuremberg


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.

Paper Video Talk



author = {Michael Zollh{\"o}fer and Michael Martinek and G{\"u}nther Greiner and Marc Stamminger and Jochen S{\"u}{\ss}muth},
title = {Automatic Reconstruction of Personalized Avatars from 3D Face Scans},
journal = {Computer Animation and Virtual Worlds (Proceedings of CASA 2011)},
volume = {22},
number = {2-3},
pages = {195--202},
year = {2011}