标题:Multi-view Facial Expression Recognition Based on Fusing Low-level and Mid-level Features
作者:Bi, Mingyue ;Ma, Xin ;Song, Rui ;Rong, Xuewen ;Li, Yibin
作者机构:[Bi, Mingyue ;Ma, Xin ;Song, Rui ;Rong, Xuewen ;Li, Yibin ] School of Control Science and Engineering, Shandong University, China
会议名称:37th Chinese Control Conference, CCC 2018
会议日期:25 July 2018 through 27 July 2018
来源:Chinese Control Conference, CCC
出版年:2018
卷:2018-July
页码:9083-9088
DOI:10.23919/ChiCC.2018.8483908
关键词:Facial active regions; Locality-constrained linear coding; Low-level and mid-level features; Multi-view facial expression recognition; PHOG
摘要:Multi-view facial expression recognition (MFER) is one of the more active research projects in human-computer interaction. Aiming at the problem of low recognition rate of single low-level feature for multi-view facial expression recognition, a recognition method fusing low-level and mid-level features is proposed, which recognizes an expression from the coarse to the fine pattern. First of all, we extract mid-level feature based LLC (locality-constrained linear coding) in traditional SPM on facial active regions. Then we compute PHOG descriptor as low-level feature on the whole face. Next, the mid-level and low-level features are concatenated, which is simple but effective for MFER. We evaluate our approach with extensive experiments on SDUMFE and Multi-PIE datasets, which shows that our approach achieves promising results for multi-view facial expression recognition. © 2018 Technical Committee on Control Theory, Chinese Association of Automation.
收录类别:EI;SCOPUS
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-s2.0-85056080587&doi=10.23919%2fChiCC.2018.8483908&partnerID=40&md5=4abeb2926dac25f871cef28a2596e1f2
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