Chen, Jingying*;Zhang, Mulan;Xue, Xianglong;Xu, Ruyi;Zhang, Kun
通讯作者：
Chen, Jingying
作者机构：
[Zhang, Mulan; Zhang, Kun; Xue, Xianglong; Xu, Ruyi; Chen, Jingying] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
National Social Science Foundation of China [16BSH107]
机构署名：
本校为第一且通讯机构
院系归属：
国家数字化学习工程技术研究中心
摘要：
Facial expression recognition is important in natural human-computer interaction, research in this direction has made great progress. However, recognition in noisy environments still remains challenging. To improve the efficiency and accuracy of the expression recognition in noisy environments, this paper presents a hierarchical random forest model based on facial action units (AUs). First, an AUs based feature extraction method is proposed to extract facial feature effectively; second, a hierarchical random forest model based on different AU regions is developed to recognize the expressions i...
