Real time facial expression recognition using local binary patterns and linear programming

Xiaoyi Feng; Lie Cui; Matti Pietikäinen; Abdenour Hadid

doi:10.1007/11579427_33

Real time facial expression recognition using local binary patterns and linear programming

Xiaoyi Feng, Lie Cui, Matti Pietikäinen, Abdenour Hadid

电子信息学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

7 引用（Scopus）

摘要

In this paper, a fully automatic, real-time system is proposed to recognize seven basic facial expressions (angry, disgust, fear, happiness, neutral, sadness and surprise). First, faces are located and normalized based on an illumination insensitive skin model and face segmentation; then, the Local Binary Patterns (LBP) techniques, which are invariant to monotonic grey level changes, are used for facial feature extraction; finally, the Linear Programming (LP) technique is employed to classify seven facial expressions. Theoretical analysis and experimental results show that the proposed system performs well in some degree of illumination changes and head rotations.

源语言	英语
主期刊名	MICAI 2005
主期刊副标题	Advances in Artificial Intelligence - 4th Mexican International Conference on Artificial Intelligence, Proceedings
出版商	Springer Verlag
页	328-336
页数	9
ISBN（印刷版）	3540298967, 9783540298960
DOI	https://doi.org/10.1007/11579427_33
出版状态	已出版 - 2005
活动	4th Mexican International Conference on Artificial Intelligence, MICAI 2005 - Monterrey, 墨西哥期限: 14 11月 2005 → 18 11月 2005

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	3789 LNAI
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	4th Mexican International Conference on Artificial Intelligence, MICAI 2005
国家/地区	墨西哥
市	Monterrey
时期	14/11/05 → 18/11/05

访问文件

10.1007/11579427_33

其它文件与链接

链接到 Scopus 的出版物

引用此

Feng, X., Cui, L., Pietikäinen, M., & Hadid, A. (2005). Real time facial expression recognition using local binary patterns and linear programming. 在 MICAI 2005: Advances in Artificial Intelligence - 4th Mexican International Conference on Artificial Intelligence, Proceedings (页码 328-336). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 3789 LNAI). Springer Verlag. https://doi.org/10.1007/11579427_33

Feng, Xiaoyi ; Cui, Lie ; Pietikäinen, Matti 等. / Real time facial expression recognition using local binary patterns and linear programming. MICAI 2005: Advances in Artificial Intelligence - 4th Mexican International Conference on Artificial Intelligence, Proceedings. Springer Verlag, 2005. 页码 328-336 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{570150cfc89a4486839aee97d848580e,

title = "Real time facial expression recognition using local binary patterns and linear programming",

abstract = "In this paper, a fully automatic, real-time system is proposed to recognize seven basic facial expressions (angry, disgust, fear, happiness, neutral, sadness and surprise). First, faces are located and normalized based on an illumination insensitive skin model and face segmentation; then, the Local Binary Patterns (LBP) techniques, which are invariant to monotonic grey level changes, are used for facial feature extraction; finally, the Linear Programming (LP) technique is employed to classify seven facial expressions. Theoretical analysis and experimental results show that the proposed system performs well in some degree of illumination changes and head rotations.",

author = "Xiaoyi Feng and Lie Cui and Matti Pietik{\"a}inen and Abdenour Hadid",

year = "2005",

doi = "10.1007/11579427_33",

language = "英语",

isbn = "3540298967",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "328--336",

booktitle = "MICAI 2005",

note = "4th Mexican International Conference on Artificial Intelligence, MICAI 2005 ; Conference date: 14-11-2005 Through 18-11-2005",

}

Feng, X, Cui, L, Pietikäinen, M & Hadid, A 2005, Real time facial expression recognition using local binary patterns and linear programming. 在 MICAI 2005: Advances in Artificial Intelligence - 4th Mexican International Conference on Artificial Intelligence, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 3789 LNAI, Springer Verlag, 页码 328-336, 4th Mexican International Conference on Artificial Intelligence, MICAI 2005, Monterrey, 墨西哥, 14/11/05. https://doi.org/10.1007/11579427_33

Real time facial expression recognition using local binary patterns and linear programming. / Feng, Xiaoyi; Cui, Lie; Pietikäinen, Matti 等.
MICAI 2005: Advances in Artificial Intelligence - 4th Mexican International Conference on Artificial Intelligence, Proceedings. Springer Verlag, 2005. 页码 328-336 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 3789 LNAI).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Real time facial expression recognition using local binary patterns and linear programming

AU - Feng, Xiaoyi

AU - Cui, Lie

AU - Pietikäinen, Matti

AU - Hadid, Abdenour

PY - 2005

Y1 - 2005

N2 - In this paper, a fully automatic, real-time system is proposed to recognize seven basic facial expressions (angry, disgust, fear, happiness, neutral, sadness and surprise). First, faces are located and normalized based on an illumination insensitive skin model and face segmentation; then, the Local Binary Patterns (LBP) techniques, which are invariant to monotonic grey level changes, are used for facial feature extraction; finally, the Linear Programming (LP) technique is employed to classify seven facial expressions. Theoretical analysis and experimental results show that the proposed system performs well in some degree of illumination changes and head rotations.

AB - In this paper, a fully automatic, real-time system is proposed to recognize seven basic facial expressions (angry, disgust, fear, happiness, neutral, sadness and surprise). First, faces are located and normalized based on an illumination insensitive skin model and face segmentation; then, the Local Binary Patterns (LBP) techniques, which are invariant to monotonic grey level changes, are used for facial feature extraction; finally, the Linear Programming (LP) technique is employed to classify seven facial expressions. Theoretical analysis and experimental results show that the proposed system performs well in some degree of illumination changes and head rotations.

UR - http://www.scopus.com/inward/record.url?scp=33646816383&partnerID=8YFLogxK

U2 - 10.1007/11579427_33

DO - 10.1007/11579427_33

M3 - 会议稿件

AN - SCOPUS:33646816383

SN - 3540298967

SN - 9783540298960

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 328

EP - 336

BT - MICAI 2005

PB - Springer Verlag

T2 - 4th Mexican International Conference on Artificial Intelligence, MICAI 2005

Y2 - 14 November 2005 through 18 November 2005

ER -

Feng X, Cui L, Pietikäinen M, Hadid A. Real time facial expression recognition using local binary patterns and linear programming. 在 MICAI 2005: Advances in Artificial Intelligence - 4th Mexican International Conference on Artificial Intelligence, Proceedings. Springer Verlag. 2005. 页码 328-336. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11579427_33

Real time facial expression recognition using local binary patterns and linear programming

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