计算机应用与软件2016，Vol.33Issue(9)：147-150,175,5.DOI:10.3969/j.issn.1000-386x.2016.09.035
局部遮挡条件下的人脸表情识别
FACIAL EXPRESSION RECOGNITION UNDER PARTIAL OCCLUSION
摘要
Abstract
We propose a novel facial expression recognition method,which is based on Gabor filter and gray-level co-occurrence matrix, aimed at facial expression recognition under partial occlusion condition.We first design an approach to extract in blocks the Gabor feature statistics,which generates a low-dimensional Gabor feature vector.Then,taking into account the lack of association between pixels in blocked Gabor features,we introduce the gray-level co-occurrence matrix reflecting the distribution characteristics between locations of pixels into expression recognition field,so as to make up the deficiency caused by Gabor feature blocking processing.Finally,we apply the linear superimposition on the extracted low-dimensional Gabor feature vector and the texture feature of gray-level co-occurrence matrix,after Gaussian normalisation processing there generates a set of low-dimensional feature vectors for feature representation.Experiments have been made on JAFFE and RaFD,they prove that the algorithm has the characteristics of high robustness,low dimension of feature vectors,short classification time and better recognition rates on facial expression recognition in different regions and with different occlusion degrees.关键词
人脸表情识别/局部遮挡/Gabor 滤波/灰度共生矩阵/高斯归一化Key words
Facial expression recognition/Partial occlusion/Gabor filter/Gray-level co-occurrence matrix/Gaussian normalisation分类
信息技术与安全科学引用本文复制引用
李蕊,刘鹏宇,贾克斌..局部遮挡条件下的人脸表情识别[J].计算机应用与软件,2016,33(9):147-150,175,5.基金项目
国家科技支撑计划项目（2011BAC12B 03）；北京市博士后工作经费项目。 （）
