摘要
对三角形坐标系作了推广,给出了广义三角坐标,使之使用于人脸表情特征表示,结合高斯核SVM分类器,采用留一主体交叉验证技术。针对CK+人脸表情数据库,得到了人脸表情正确识别率为98.2%,相比于其基准算法和M-CRT算法,正确率有较大提高。这表明所提出的人脸表情特征表示方法的有效性。
Based on the triangular coordinate system,the generalized triangular coordinates are given to be used in facial expression feature representation.Combined with the Gaussian kernel SVM classifier,the left-face cross-validation technique is used to obtain the correct facial expression.For the CK+facial expression database,the recognition rate is 98.2%,which is greatly improved compared with benchmark algorithm and M-CRT algorithm,indicating the effectiveness of the proposed facial expression feature representation method.
作者
肖潇
孔凡芝
XIAO Xiao;KONG Fan-zhi(College of Electronics Information,ZheJiang University of Media and Communication,Hangzhou 310018,China)
出处
《计算机科学》
CSCD
北大核心
2020年第S01期250-253,共4页
Computer Science
基金
浙江省公益项目(LGG19E050002,LGG18F010001)
院级教改项目《视频监控技术》课程讲义建设。
关键词
人脸表情
特征表示
三角坐标系
位移矢量
Facial Expression
Feature representation
Triangle coordinate system
Transform vector
