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By O'sullivan F., Roy S.

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The generic face model in the iFACE system consists of nearly all the head components such as face, eyes, teeth, ears, tongue, and etc. The surfaces of the components are approximated by triangular meshes. There are 2240 vertices and 2946 triangles. The tongue component is modeled by a Non-Uniform 15 3D Face Modeling Rational B-Splines (NURBS) model which has 63 control points. 1. 2 Personalized face model In iFACE, the process of making a personalized face model is nearly automatic with only a few manual adjustments necessary.

In this method, we randomly initialize the decomposition. Then, we use NMF to reduce the linear decomposition error to a local minimum. We impose the non-negativity constraint in the linear combination of the facial motion energy. edu (under category “Computational Neuroscience”). The algorithm is an iterative optimization process. In our experiments, we use 500 iterations. 4(a) shows some parts derived by NMF. Adjacent different parts are shown in different patterns overlayed on the face model.

The motion of each part is modeled by PCA as described in Section 3. Then, the overall facial deformation is approximated Learning Geometric 3D Facial Motion Model 25 by summing up the deformation in each part: where is the deformation of the facial shape. N is the number of parts. We call this representation parts-based MU, where the j-th part has its MU set and MUP set To decompose facial motion into parts, we use NMF together with prior knowledge. In this method, we randomly initialize the decomposition.

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