基于Contourlet变换与LPP的表情识别

提出一种基于Contourlet变换与局部保持投影(LPP)的人脸表情识别方法。将人脸表情图像分割为左眼(包括眉毛)、右眼(包括眉毛)和嘴三部分，利用Contourlet变换对局部表情图像和原始图像进行处理，得到图像的低频分量和高频分量。结合局部表情图像的低频分量与原始图像的高频分量，采用LPP算法提取表情特征，并利用支持向量机进行分类。实验结果表明，该方法的识别率较高。

Expression Recognition Based on Contourlet Transform and Locality Preserving Projection

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.