计算机科学 ›› 2018, Vol. 45 ›› Issue (10): 286-290.doi: 10.11896／j.issn.1002-137X.2018.10.053
刘涛1, 周先春2, 严锡君3
LIU Tao1, ZHOU Xian-chun2, YAN Xi-jun3
摘要： 文中提出了一种人脸表情识别的新方法,该方法采用动态的光流特征来描述人脸表情的变化差异,提高人脸表情的识别率。首先,计算人脸表情图像与中性表情图像之间的光流特征;然后,对传统的线性判断分析方法(Linear Discriminant Analysis,LDA)进行扩展,采用高斯LDA方法对光流特征进行映射,从而得到人脸表情图像的特征向量;最后,设计多类支持向量机分类器,实现人脸表情的分类与识别。在JAFFE和CK人脸表情数据库上的表情识别实验结果表明,该方法的平均识别率比3种对比方法的高出2%以上。
中图分类号:
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