Home > Research > Publications & Outputs > Automatic 3D face reconstruction from single im...
View graph of relations

Automatic 3D face reconstruction from single images or video

Research output: Working paper

Published
  • Pia Breuer
  • Kwang In Kim
  • Wolf Kienzle
  • Volker Blanz
  • Bernhard Schölkopf
Close
Publication date1/02/2007
PublisherMax Planck Institute for Biological Cybernetics
Number of pages12
<mark>Original language</mark>English

Abstract

This paper presents a fully automated algorithm for reconstructing a textured 3D model of a face from a single photograph or a raw video stream. The algorithm is based on a combination of Support Vector Machines (SVMs) and a Morphable Model of 3D faces. After SVM face detection, individual facial features are
detected using a novel regression- and classification-based approach, and probabilistically plausible configurations of features are selected to produce a list of candidates for several facial feature positions. In the next step, the configurations of feature points are evaluated using a novel criterion that is based on a Morphable Model and a combination of linear projections. Finally, the feature points initialize a model-fitting procedure of the Morphable Model. The result is a high-resolution 3D surface model.