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Enhancing the Symmetry and Proportion of 3D Face Geometry

机译:增强3D人脸几何的对称性和比例

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摘要

We present an engine for enhancing the geometry of a 3D face mesh model while making the enhanced version share close similarity with the original. After obtaining the feature points of a given scanned 3D face model, we first perform a local and global symmetrization on the key facial features. We then apply an overall proportion optimization to the frontal face based on Neoclassical Canons and golden ratios. A nonlinear least-squares solution is adopted to adjust the feature points so that the face profile complies with the aesthetic criteria, which are derived from the profile cosmetology. Through the above processes, we obtain the optimized feature points, which will lead to a more attractive face. According to the original feature points and the optimized ones, we perform Laplacian deformation to adjust the remaining points of the face in order to preserve the geometric details. The analysis of user study in this paper validates the effectiveness of our 3D face geometry enhancement engine.
机译:我们提出了一种引擎,用于增强3D面网格模型的几何形状,同时使增强的版本与原始版本具有相似的相似性。在获得给定的扫描3D面部模型的特征点之后,我们首先对关键的面部特征执行局部和全局对称。然后,我们根据新古典佳能和黄金比例对正面进行整体比例优化。采用非线性最小二乘解来调整特征点,以使脸部轮廓符合从轮廓美容学得出的美学标准。通过以上过程,我们获得了优化的特征点,这将导致一张更具吸引力的面孔。根据原始特征点和优化特征点,我们执行拉普拉斯变形以调整面的其余点,以保留几何细节。本文对用户研究的分析验证了我们3D面部几何增强引擎的有效性。

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