基于三维形变模型的人脸姿势表情校正  

Face Pose and Expression Correction Based on 3D Morphable Model

作　　者：王钱庆 张惊雷 WANG Qian-qing;ZHANG Jing-lei(Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems,Tianjin University of Technology,Tianjin 300384,China;School of Electrical and Electronics Engineering,Tianjin University of Technology,Tianjin 300384,China)

机构地区：[1]天津理工大学天津市复杂系统控制理论及应用重点实验室,天津300384 [2]天津理工大学电气电子工程学院,天津300384

出　　处：《计算机科学》2019年第6期263-269,共7页Computer Science

摘　　要：针对目前人脸姿势校正鲁棒性差和计算复杂等问题,提出一种新的人脸姿态表情校正方法。首先,通过Fast-SIC算法来改进AAM模型以实现人脸对齐,该算法在不同光照、不同表情、不同姿势及不同遮挡的情况下均具有良好的对齐效果。然后,在人脸对齐的基础上进行人脸三维重建。文中提出了BFM-3DMM模型,其在原始3DMM模型的基础上添加了表情参数。但是,经过BFM-3DMM模型校正后的人脸仍然不够平滑,利用SFS算法不会受到原始统计模型约束的特点,对BFM-3DMM模型校正后的二维人脸进行再校正。在AFLW和LFPW数据库及自测人脸数据库上进行了相关实验,结果证明,校正后的二维人脸更加平滑且具有高保真度,还能够保留图像背景等信息。Aiming at the problems such as poor robustness and computational complexity in face pose correction,a new facial pose and expression correction algorithmis was proposed.First,the Fast-SIC algorithm is adopted to improve the AAM model and to enhence the fitting efficiency.Then,based on the face alignment results,3D face reconstruction is performed.A BFM-3DMM model combining expression parameters into classical 3DMM model was proposed.However,the face corrected by the BFM-3DMM model is not smooth enough.Due to the fact that the SFS algorithm is not constrained by the original statistical model,this algorithm is applied to re-correct 2D face from BFM-3DMM model.The algorithm achieves good alignment and correction effects both on AFLW and LFPW,which are the two famous large face databases,as well as self-build face database.The experimental evaluation results show that the corrected 2D faces have smoother apperance and higher fidelity compared with classical 3DMM model,and can also retain image background information.

关 键 词：人脸三维重建 主动表观模型 三维形变模型 从阴影恢复形状法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]