标题:Facial Expression Recognition Based on Gabor and Conditional Random Fields
作者:Li, Jing; Zhang, Bo
通讯作者:Li, J;Li, J
作者机构:[Li, Jing] Shandong Management Univ, Sch Mech & Elect Engn, Jinan 250100, Shandong, Peoples R China.; [Li, Jing] Shandong Normal Univ, Sch Informat 更多
会议名称:13th IEEE International Conference on Signal Processing (ICSP)
会议日期:NOV 06-10, 2016
来源:PROCEEDINGS OF 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2016)
出版年:2016
页码:752-756
关键词:facial expression recognition; facial expression database; gabor; feature; conditional random fields
摘要:In this paper, a facial expression recognition algorithm based on Gabor and conditional random fields is proposed. Firstly, owing to the fact that in the existing databases, the number of people and images are relatively small, we established our own facial expression database, and some preprocessing methods are performed thereon. Secondly, Gabor features are extracted in five scales and eight directions from the facial expression images, which are performed dimensionality reduction via PCA and the feature information with less dimension is acquired. Finally, facial expression is recognized and classified by using Conditional Random Fields (CRFs). In the experiments based on the facial database we established, the overall average recognition rate of the proposed algorithm is up to 91.62%, which shows the effectiveness of the proposed algorithm.
收录类别:CPCI-S
WOS核心被引频次:1
资源类型:会议论文
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