Automatic facial expression recognition based on Local Binary Patterns of Local Areas

被引：9

作者：

Liu, Wei-feng ^{[1
]}

Li, Shu-juan ^{[1
]}

Wang, Yan-jiang ^{[1
]}

机构：

[1] China Univ Petr E China, Coll Informat & Control Engn, Dongying 257061, Peoples R China

来源：

2009 WASE INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING, ICIE 2009, VOL I | 2009年

关键词：

facial expression recognition; local binary patterns; LLBP; facial feature extraction; eye location; CLASSIFICATION; TEXTURE; HMM;

D O I：

10.1109/ICIE.2009.36

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Automatic facial expression recognition is one of the great challenges in facial expression recognition field. An algrithom of automatic facial expression recognition is proposed based on Local Binary Patterns of local areas (LLBP)in this work. First, the position of eye balls is fixed by projection method. Then the local areas of the eyes and mouth's neighbourhood could be determined through the pri-knowledge of face structure. The LBP feature on the local areas is then computed as the facial feature for facial expression recognition. Finally, the recognition experiment is conducted on the JAFFE facial database, which showd the realibility of the method proposed.

引用

页码：197 / 200

页数：4

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