计算机工程2012，Vol.38Issue(6)：184-186,3.DOI:10.3969/j.issn.1000-3428.2012.06.060
基于Contourlet变换与LPP的表情识别
Expression Recognition Based on Contourlet Transform and Locality Preserving Projection
高现文 1付炜 1祝鹏1
作者信息
- 1. 燕山大学信息科学与工程学院,河北秦皇岛066004
- 折叠
摘要
Abstract
This paper presents an expression recognition method based on Contourlet transform and Locality Preserving Projection(LPP). It divides the face expressions image into three parts: left eye(including their eyebrows), right eye(including their eyebrows) and mouth. By using local Contourlet transform to process the local expression image and original image, it gets the low-frequency components and high-frequency components of the image. Combining with the low-frequency components of local expression image and high-frequency components of the original image, it extracts feature by using LPP algorithm, after that it uses Support Vector Machine(SVM) as the classifier. Experimental results indicate that the method has high recognition rate.关键词
Contourlet变换/高频分量/低频分量/局部保持投影/表情识别Key words
Contourlet transform/ high-frequency component/ low-frequency component/ Locality Preserving Projection(LPP)/ expression recognition分类
信息技术与安全科学引用本文复制引用
高现文,付炜,祝鹏..基于Contourlet变换与LPP的表情识别[J].计算机工程,2012,38(6):184-186,3.
