Automatic 3D face reconstruction from single images or video

Breuer, Pia and Kim, Kwang In and Kienzle, Wolf and Blanz, Volker and Schölkopf, Bernhard (2007) Automatic 3D face reconstruction from single images or video. Working Paper. Max Planck Institute for Biological Cybernetics.

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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.

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08 Jul 2014 08:13
Last Modified:
12 Sep 2023 04:21