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