hide
Free keywords:
-
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 highresolution
3D surface model.
