标题:Facial Expression Recognition Based on Feature Block and Local Binary Pattern
作者:Wang, Wencheng; Chang, Faliang
通讯作者:Wang, WC
作者机构:[Wang, Wencheng] Weifang Univ, Coll Informat & Control Engn, Weifang 261061, Peoples R China.; [Wang, Wencheng; Chang, Faliang] Shandong Univ, Coll 更多
会议名称:9th International Conference on Bio-Inspired Computing - Theories and Applications (BIC-TA)
会议日期:OCT 16-19, 2014
来源:BIO-INSPIRED COMPUTING - THEORIES AND APPLICATIONS, BIC-TA 2014
出版年:2014
卷:472
页码:447-451
关键词:Facial Expression Recognition; Principle Component Analysis; Feature; Block; Local Binary Pattern
摘要:Automatic facial expression recognition (FER) played more and more important role in recent years for its wide range of potential applications. So, as one of the challenging tasks in intelligent system, it still has many questions need to be deeply researched. Taking into account the importance of eyes and mouth for FER and the outstanding performance of local binary pattern (LBP) to extract local textures, a representation model for facial expressions based on feature blocks and LBP descriptor is proposed. The strategies of feature blocks obtaining and LBP feature extracting are analyzed in details and the recognition experiment is conducted. Experimental result shows that this algorithm has good performance.
收录类别:CPCI-S;EI;SCOPUS
WOS核心被引频次:1
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930786390&partnerID=40&md5=9e007f2d72165aee2da6eed0eb7bbb42
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