A Navel Facial Expression Recognition Method Based on Extreme Learning Machine

被引：0
|
作者：
Liu, Zhen-Tao [1 ,2 ]
Sui, Gui-Tian [2 ]
Li, Dan-Yun [2 ]
Tan, Guan-Zheng [2 ]
机构：
[1] China Univ Geosci, Sch Automat, Wuhan, Peoples R China
[2] Cent S Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China
来源：
2015 34TH CHINESE CONTROL CONFERENCE (CCC) | 2015年
关键词：
Facial Expression Recognition; Gabor Filter; Facial Segmentation; Extreme Learning Machine; CLASSIFICATION; FEATURES;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A facial expression recognition method based on Extreme Learning Machine (ELM) is proposed, in which Gabor filter and two dimension principal components analysis (2DPCA) are used for the feature extraction. The proposal uses ELM as the learning algorithm because of its less stringent optimization constraints for learning than other algorithms such as SVM. The experiments of facial expression recognition are performed using both Cohan-Kanade and JAFFE databases, in which 94% recognition rate on the JAFFE dataset and 95% recognition rate on the Cohan-Kanade dataset are achieved.
引用
收藏
页码：3852 / 3857
页数：6
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