Research on Photorealistic Virtual Face Modeling

Xiangzhen He, Shengyin Zhu, Yihao Zhang, Yerong Hu, Dengyun Zhu, Xiaoyu Liu, F. Wan
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Abstract

Most of the traditional face modeling methods adopt the parameter-based method to construct, but the face model constructed by this method is too smooth and ignores the detailed features of the face. To solve this problem, a virtual face modeling method based on 3D motion capture data is proposed in this paper. In order to improve the deformation method for the realistic modeling purpose, this paper divides the modeling process of personalized face into two parts: overall modification and local deformation. The overall deformation modifies the facial shape and the position of the facial features of Maya universal model; Based on the principle of radial basis function interpolation algorithm, a smooth interpolation function is constructed, and the new position coordinates of non-characteristic points are obtained by solving the linear equations, so that they are more in line with the physiological characteristics of human faces. The end result is a more realistic virtual face that you model.
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逼真虚拟人脸建模技术研究
传统的人脸建模方法大多采用基于参数的方法进行构建,但这种方法构建的人脸模型过于光滑,忽略了人脸的细节特征。为了解决这一问题,本文提出了一种基于三维运动捕捉数据的虚拟人脸建模方法。为了改进变形方法以达到逼真的建模目的,本文将个性化人脸的建模过程分为整体修改和局部变形两部分。整体变形改变了玛雅通用模型的面部形状和面部特征的位置;基于径向基函数插值算法的原理,构造光滑插值函数,通过求解线性方程得到非特征点的新位置坐标,使其更符合人脸的生理特征。最终的结果是一个更真实的虚拟脸,你的模型。
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