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Automatic 3D face reconstruction from single images or video

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published
  • Pia Breuer
  • Kwang In Kim
  • Wolf Kienzle
  • Bernhard Schölkopf
  • Volker Blanz
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Publication date2008
Host publicationAutomatic Face & Gesture Recognition, 2008. FG '08. 8th IEEE International Conference on
PublisherIEEE
Pages1-8
Number of pages8
ISBN (Electronic)9781424421541
ISBN (Print)9781424421534
Original languageEnglish

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. To make the algorithm robust with respect to head orientation, this process is iterated while the estimate of pose is refined. Finally, the feature points initialize a model-fitting procedure of the Morphable Model. The result is a high resolution 3D surface model.