A novel feature extraction method for facial expression recognition

Xiaoyi Feng, Baohua Lv, Zhen Li, Jiling Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

13 引用 (Scopus)

摘要

In this work, a novel facial feature extraction method is proposed for automatic facial expressions recognition, which detecting local texture information, global texture information and shape information of the face automatically to form the facial features. First, Active Appearance Model (AAM) is used to locate facial feature points automatically. Then, the local texture information in these feature points and the global texture feature information of the whole face area are extracted based on the Local Binary Pattern (LBP) techniques, and also the shape information of the face are detected. Finally, all the information are combined together to form the feature vector. The proposed feature extraction method is tested by the JAFFE database and experimental results show that it is promising.

源语言英语
主期刊名Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
DOI
出版状态已出版 - 2006
活动9th Joint Conference on Information Sciences, JCIS 2006 - Taiwan, ROC, 中国台湾
期限: 8 10月 200611 10月 2006

出版系列

姓名Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
2006

会议

会议9th Joint Conference on Information Sciences, JCIS 2006
国家/地区中国台湾
Taiwan, ROC
时期8/10/0611/10/06

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