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Three-dimensional face pose and shape acquisition has become an important part of 3D face reconstruction, 3D face tracking, and other related applications. Many approaches have been presented to estimate the 3D face shape from 2D images. Some of them are parameterized model based approaches so it is somewhat convenient to handle model shape and pose via numerical parameters to align its vertices on...
This paper presents a new method for person-specific face shape estimation under varying head pose of a previously unseen person from a single image. We describe a featureless approach based on a deformable 3D model and a learned face subspace. The proposed approach is based on maximizing a likelihood measure associated with a learned face subspace, which is carried out by a stochastic and genetic...
Recent face recognition algorithm can achieve high accuracy when testing face samples are frontal. However, when face pose changes largely, the performance of existing methods drop drastically. In this paper, we propose an improved algorithm aiming at recognizing faces of different poses when each face class has only one frontal training sample. For each sample, a 3D face is constructed by using 3D...
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