基于二维与三维表面映射的三维面部模型拟合  

Three-dimensional Face Model Fitting Based on Two- and Three-dimensional Surface Mapping

作　　者：郭涵 孙元功[2] 赵秀阳[1] 黄世峰[3] GUO Han;SUN Yuangong;ZHAO Xiuyang;HUANG Shifeng(School of Information Science and Engineering,University of Jinan,Jinan 250022,China;School of Mathematical Sciences,University of Jinan,Jinan 250022,China;Shandong Provincial Key Laboratory of Preparation and Measurement of Building Materials,University of Jinan,Jinan 250022,China)

机构地区：[1]济南大学信息科学与工程学院,山东济南250022 [2]济南大学数学科学学院,山东济南250022 [3]济南大学山东省建筑材料制备与测试技术重点实验室,山东济南250022

出　　处：《济南大学学报（自然科学版）》2019年第6期489-495,共7页Journal of University of Jinan(Science and Technology)

基　　金：国家自然科学基金(61373054)

摘　　要：针对现有的面部模型拟合方法需要人工标记三维模型显著点,而且存在二维与三维非刚性对齐中轮廓在参数变化下消失的问题,提出一种基于二维与三维表面映射的三维面部模型拟合的方法;首先初始化参数计算人脸平均模型,然后利用Snake方法进行二维标志点和三维显著点的对齐,再更新迭代标志点和脸颊边缘,优化混合目标函数来更新形状和姿态参数,最后得到最终参数来拟合三维面部模型。结果表明,该方法可应用于单张人脸图片拟合三维人脸模型,实现三维显著点和图像中的二维标志点的自动化对齐。In view of the fact that the existing face model fitting methods had to label the three-dimensional salient points manually,and the contour disappeared under the change of parameters in the process of two- and three-dimensional non-rigid alignment,a method of three-dimensional face model fitting based on two- and three-dimensional surface mapping was proposed.Firstly,the average face model was calculated by initializing parameters,then,Snake method was used to align two-dimensional landmarks and three-dimensional salient points.The shape and pose parameters were updated by the landmarks and cheek edge iteratively and optimizing the mixed objective function,then the three-dimensional face model was fitted by the final parameters.The results show that this method can be applied to fit a three-dimensional face model with a single face image,and realize the alignment of three-dimensional salient points and two-dimensional landmarks automatically.

关 键 词：表面映射 面部模型拟合 三维显著点 二维标志点 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]