Facial Expression Recognition using an Advanced Modeling of Completed Local Binary Pattern

被引：0

作者：

Ton-That, An H. ^{[1
]}

Cao, Nhan T. ^{[2
,3
]}

机构：

[1] Univ Finance & Mkt, Fac Informat Technol, Ho Chi Minh City 700000, Vietnam

[2] Univ Informat Technol, Ho Chi Minh City, Vietnam

[3] Vietnam Natl Univ, Ho Chi Minh City 700000, Vietnam

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN SIGNAL PROCESSING AND ARTIFICIAL INTELLIGENCE, ASPAI' 2020 | 2020年

关键词：

Computer vision; Emotion detection; Facial expression recognition; Advanced completed local binary pattern;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes an improved feature modeling of Completed Local Binary Pattern (CLBP) combined with an effective image pre-processing technique for extracting features in facial expression recognition. The method has experimented on two typical kinds of dataset: medium (2040 images) and large (5130 images). Experimental results show recognition rate of the proposed method better in comparison with common modeling of Completed Local Binary Pattern feature and the Local Binary Pattern feature as well. Experiments performed on medium and large facial expression datasets obtained recognition rates are 99.95 % and 99.14 % respectively.

引用

页码：213 / 217

页数：5

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