摘要
本文提出了一种基于粗集的自动表情识别系统(RAFERS),该系统首先对人脸表情进行预处理,然后依次进行特征提取、特征选择、训练情感分类模型,最后对待测试的人脸表情进行自动的识别。实验表明,该系统能准确的识别人脸表情。
In this paper, a rough set-based automatic facial emotion recognition system （RAFERS） is proposed. For the system, it firstly pre-processes facial images which include emotions, and extracts facial emotion features, selects a feature subset from emotion features, then trains an emotion classifier, at last recognizes the emotion of facial images automatically. The experiments prove that the system has a good performance on recognition of facial emotion.
出处
《微计算机信息》
北大核心
2008年第22期282-284,共3页
Control & Automation
关键词
情感计算
表情识别
粗集
Affective computing
facial emotion recognition
rough set
