Facial Expression Recognition with Local Gabor Filters

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.

关键词： local Gabor filters corresponding scales analysis facial expression recognition

作者: Xiaoli Li Qiuqi Ruan Chengxiong Ruan

作者单位: Institution of information Science,Beijing Jiaotong University,Beijing 100044,P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1013-1016

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）