基于线索引导的面部运动捕捉与数据虚拟重用方法  

Method of Facial Motion Capture and Data Virtual Reusing Based on Clue Guided

作　　者：张超[1] 金龙斌 韩成[1] ZHANG Chao ,JIN Long- bin ,HAN Cheng(School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, Chin)

机构地区：[1]长春理工大学计算机科学技术学院,长春130022

出　　处：《计算机科学》2018年第B06期198-201,共4页Computer Science

基　　金：吉林省科技攻关计划项目(20170203003GX);吉林省科技攻关计划项目(20170203004GX)资助

摘　　要：多数无标记面部表情运动捕捉方法仅捕捉面部表情运动的平面位置变化,而无纵深变化描述。针对这一问题,提出了基于线索引导的面部运动捕捉与数据虚拟重用方法。首先,使用单目视觉系统对人脸主体区域进行定位;然后,采用级联回归模型对人脸地标特征逐步求精,通过利用人脸特征的主动地标线索和地标特征的深度线索得到特征点在三维空间上的位置变换关系;最后,借助面部骨骼节点的数据表示实现面部表情运动重构。通过在线的实时面部表情运动捕捉实验效果可以看出,该方法不仅能够实现不同视角下对应地标特征的精确匹配,而且能够较好地将真实面部运动赋予虚拟角色。Most of the unmarked facial expression motion capture methods only capture the planar position changes of facial expression movements,have no description of the depth changes.For this problem,a clue guided based facial motion captures and data virtual reusing method was proposed.Firstly,the method uses a monocular vision system for locating the main body of the face.Then,the face landmark features are refined by the cascade regression model.We can obtain the positional transformation relationship of the feature points in the three-dimensional space by the active landmark cues of the facial features and the depth clues of the landmark features.Finally,the facial skeleton node data are used to achieve facial expression motions＇ reconstruction.Through the experiment of the online real-time facial expression motion capture,it can be seen that this method can not only achieve the exact match of the corresponding landmark features in different perspectives,but can also better assigns real facial motion to virtual characters.

关 键 词：线索引导 面部运动捕捉 级联回归模型 人脸特征 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]