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Symmetric Shape Deformation Considering Facial Features and Attractiveness Improvement  

Kim, Jeong-Sik (Dept. of Computer Science and Engineering, Sejong University)
Shin, Il-Kyu (Dept. of Computer Science and Engineering, Sejong University)
Choi, Soo-Mi (Dept. of Computer Science and Engineering, Sejong University)
Abstract
In this paper, we present a novel deformation method for alleviating the asymmetry of a scanned 3D face considering facial features. To handle detailed areas of the face, we developed a new local 3D shape descriptor based on facial features and surface curvatures. Our shape descriptor can improve the accuracy when deforming a 3D face toward a symmetric configuration, because it provides accurate point pairing with respect to the plane of symmetry. In addition, we use point-based representation over all stages of symmetrization, which makes it much easier to support discrete processes. Finally, we performed a statistical analysis to assess subjects' preference for the symmetrized faces by our approach.
Keywords
symmetric deformation; surface curvature; shape descriptor; point-based representation;
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