实时人脸表情识别方法的研究与实现

摘要

This paper researches on the related algorithm and builds a real-time facial expression recognition system based on net-work camera platform, aiming at the brightness image estimation complexly operated by the use of classic Retinex algorithm, pres-ents a .Gamma correction single scale Retinex image enhancement algorithm, and the enhanced image HOG expression character-istics are extracted and the expression is classified by the nearest neighbor classifier. And then it builds a facial expression recogni-tion system, and completes real-time face detection and face recognition. Test results show that the method is of high recognition rate and robustness.%进行人脸表情识别系统相关的算法研究，并基于网络摄像机平台搭建实时人脸表情识别系统。针对经典Retinex算法亮度图像估计运算复杂问题，提出一种Gamma校正的单尺度Retinex图像增强算法；对增强图像进行HOG表情特征提取，并通过最近邻分类器进行表情分类。搭建人脸表情识别系统，进行实时人脸检测与表情识别。测试结果表明该方法具有较高的识别率和鲁棒性。