基于肤色与人脸运动相结合的自动表情识别算法研究  

Research on automatic facial expression recognition algorithm based on skin color and face movement

作　　者：宋婉娟[1] 董文永 Song Wanjuan, Dong Wenyong(School of Computing, Hubei University of Education, Wuhan 430205, Chin)

机构地区：[1]湖北第二师范学院计算机学院,湖北武汉430205

出　　处：《电子技术应用》2018年第5期140-143,共4页Application of Electronic Technique

基　　金：2016年湖北省教育厅科学研究计划项目(B2016226)

摘　　要：基于肤色与人脸运动相结合的自动表情,对其识别算法进行研究。通过RGB将图像转为YIQ颜色空间,在YIQ中第I维中进行图像数据的提取,在二值图像中将背景和肤色分割出来。采用Pareto优化算法进行人脸表情特征的选取,算法计算量少,构结简单,运行速度快,能对小角度人脸肤色、人脸面部表情变化、人脸旋转、人脸面部存在遮挡物等情况准确检测和跟踪。实验表明,对于人脸小角度转动,该算法能较好适应;对于人眼的状态,该算法不受影响;对于丰富的面部表情变化和不同的肤色均能更好地适应,具有一定的稳定性。In this paper, the automatic facial expression based on the combination of skin color and face motion is studied. The image is transformed into YIQ color space by RGB, and the image data is extracted in the I dimension of YIQ, and the back-ground and skin color are segmented in the two valued image. By using Pareto optimization algorithm to select facial expression fea-ture, this algorithm has less calculation, simple structure, fast running speed, accurate detection and can track the obstructions of small angle face skin color, facial expression, face rotation and face. Experiments show that the algorithm can adapt to small angle rotation of human face. For human eyes, the algorithm is not affected, can better adapt to the rich facial expression changes and different skin colors, and has a certain stability.

关 键 词：Pareto优化算法 人脸运动 肤色 遗传算法 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]