Research

Automatic 3D face reconstruction from single images or video


Reference:

Breuer, P., Kim, K.- I., Kienzle, W., Schölkopf, B. and Blanz, V., 2008. Automatic 3D face reconstruction from single images or video. In: 8th International Conference on Automatic Face & Gesture Recognition (FG 08), 2008, 2008-09-17 - 2008-09-19. IEEE, pp. 1-8.

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Official URL:

http://dx.doi.org/10.1109/AFGR.2008.4813339

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.

Details

Item Type Conference or Workshop Items (UNSPECIFIED)
CreatorsBreuer, P., Kim, K.- I., Kienzle, W., Schölkopf, B. and Blanz, V.
DOI10.1109/AFGR.2008.4813339
DepartmentsFaculty of Science > Computer Science
StatusPublished
ID Code51585

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