基于Gabor小波变换的人脸表情识别技术研究

为了使人机交互得到更好的研究,提出了一种基于Gabor小波变换的人脸表情识别的新方法;首先对图像进行预处理以提高后续处理的准确度,预处理包括确定纯的人脸表情区域,尺寸和灰度归一化,然后对表情子区域进行Gabor小波变换,提取表情特征矢量,进而构建表情弹性图,最后用模板匹配的方法来识别图像的人脸表情;经过实验,发现Gabor小波变换提取特征时受光照影响比较小,该系统不仅具有很好的鲁棒性,并且速度快,识别率高。

Facial expression recognition based on Gabor wavelet transform

To give a better research of human-computer interaction,the new method of facial expression recognition based on Gabor wavelets transform was discussed.Image preprocessors were executed firstly to improve the accuracy of follow-up processing.Preprocessors including the identification of pure Face Facial Expression region,size and gray-scale normalized.Secondly,expression feature vectors of the expression sub-regions were extracted by Gabor wavelet transformation to form expression elastic graph.Finally,temp...