Facial Expression Recognition Based on Classifier Combinations

机译：基于分类器组合的面部表情识别

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摘要

This paper introduces facial expression recognition by combining multiple classifiers. It describes in detail the principles of various classifier combination schemes. Extensive experiments of these classifier combination schemes on both the Japanese female facial expression database and the Cohn-Kanade AU-coded facial expression database are given. The results show that it is an effective approach to further increase the recognition rate by classifier combinations.

机译：本文通过组合多个分类器来介绍面部表情识别。它详细描述了各种分类器组合方案的原理。这些分类器组合方案在日本女性面部表情数据库和Cohn-Kanade AU编码的面部表情数据库上均进行了广泛的实验。结果表明，这是通过分类器组合进一步提高识别率的有效方法。

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来源
《International Conference on Signal Processing(ICSP'06); 20061116-20; Guilin(CN)》|2006年|P.1628-1632|共5页
会议地点 Guilin(CN)
作者
Ying Zilu; Li Jingwen; Zhang Youwei;
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作者单位

School of Electronics and Information Engineering, Beihang University, Beijing 100083;

School of Information, Wuyi University, Jiangmen, Guangdong, 529020;

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会议组织
原文格式 PDF
正文语种 eng
中图分类通信理论;
关键词
facial expression recognition; classifier combination; classifier fusion; decision templates; dempster-shafer;

机译：表情识别；分类器组合；分类器融合；决策模板； Dempster-shafer;

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Facial Expression Recognition Based on Classifier Combinations

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