Facial Expression Recognition with Local Gabor Filters

被引：0
|
作者：
Li, Xiaoli [1 ]
Ruan, Qiuqi [1 ]
Ruan, Chengxiong [1 ]
机构：
[1] Beijing Jiao Tong Univ, Inst Informat Sci, Beijing 100044, Peoples R China
来源：
2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III | 2010年
关键词：
local Gabor filters; corresponding scales analysis; facial expression recognition; FACE RECOGNITION; CLASSIFICATION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper investigates the local Gabor filters for facial expression recognition. The local Gabor filters can not only reduce the memory requirement but also lower the time of extracting Gabor features. By contracting among the recognition rates using different local Gabor filters, we can get that not each of the Gabor filters which choose different scales can provide the same power for facial expression recognition. The local Gabor filters choosing lower scales always provide higher power than the ones choosing higher scales does. The quantitative results clearly suggest that the proposed approach produces encouraging results and opens, a promising direction for speeding facial expression recognition.
引用
收藏
页码：1013 / 1016
页数：4
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