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Automatic 3D Face Reconstruction from Single Images or Video

2007

Technical Report

ei


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.

Author(s): Breuer, P. and Kim, KI. and Kienzle, W. and Blanz, V. and Schölkopf, B.
Number (issue): 160
Year: 2007
Month: February
Day: 0

Department(s): Empirical Inference
Bibtex Type: Technical Report (techreport)

Institution: Max Planck Institute for Biological Cybernetics, Tübingen, Germany

Digital: 0
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: PDF

BibTex

@techreport{4380,
  title = {Automatic 3D Face Reconstruction from Single Images or Video},
  author = {Breuer, P. and Kim, KI. and Kienzle, W. and Blanz, V. and Sch{\"o}lkopf, B.},
  number = {160},
  organization = {Max-Planck-Gesellschaft},
  institution = {Max Planck Institute for Biological Cybernetics, Tübingen, Germany},
  school = {Biologische Kybernetik},
  month = feb,
  year = {2007},
  month_numeric = {2}
}