A novel real time system for facial expression recognition

Xiaoyi Feng; Matti Pietikäinen; Abdenour Hadid; Hongmei Xie

doi:10.1007/11573548_32

A novel real time system for facial expression recognition

Xiaoyi Feng
, Matti Pietikäinen
, Abdenour Hadid
, Hongmei Xie

电子信息学院

University of Oulu
Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 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), which is insensitive to illumination changes. First, face is located and normalized based on an illumination insensitive skin model and face segmentation; then, the basic Local Binary Patterns (LBP) technique, which is invariant to monotonic grey level changes, is used for facial feature extraction; finally, a coarse-to-fine scheme is used for expression classification. Theoretical analysis and experimental results show that the proposed system performs well in variable illumination and some degree of head rotation.

源语言	英语
主期刊名	Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings
出版商	Springer Verlag
页	248-256
页数	9
ISBN（印刷版）	3540296212, 9783540296218
DOI	https://doi.org/10.1007/11573548_32
出版状态	已出版 - 2005
活动	1st International Conference on Affective Computing and Intelligent Interaction, ACII 2005 - Beijing, 中国期限: 22 10月 2005 → 24 10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	3784 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	1st International Conference on Affective Computing and Intelligent Interaction, ACII 2005
国家/地区	中国
市	Beijing
时期	22/10/05 → 24/10/05

访问文件

10.1007/11573548_32

其它文件与链接

链接到 Scopus 的出版物

引用此

Feng, X., Pietikäinen, M., Hadid, A., & Xie, H. (2005). A novel real time system for facial expression recognition. 在 Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings (页码 248-256). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 3784 LNCS). Springer Verlag. https://doi.org/10.1007/11573548_32

Feng, Xiaoyi ; Pietikäinen, Matti ; Hadid, Abdenour 等. / A novel real time system for facial expression recognition. Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings. Springer Verlag, 2005. 页码 248-256 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{a742c0ddebe14d0496cca0ad079a8826,

title = "A novel real time system for facial expression recognition",

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), which is insensitive to illumination changes. First, face is located and normalized based on an illumination insensitive skin model and face segmentation; then, the basic Local Binary Patterns (LBP) technique, which is invariant to monotonic grey level changes, is used for facial feature extraction; finally, a coarse-to-fine scheme is used for expression classification. Theoretical analysis and experimental results show that the proposed system performs well in variable illumination and some degree of head rotation.",

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

year = "2005",

doi = "10.1007/11573548\_32",

language = "英语",

isbn = "3540296212",

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

publisher = "Springer Verlag",

pages = "248--256",

booktitle = "Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings",

note = "1st International Conference on Affective Computing and Intelligent Interaction, ACII 2005 ; Conference date: 22-10-2005 Through 24-10-2005",

}

Feng, X, Pietikäinen, M, Hadid, A & Xie, H 2005, A novel real time system for facial expression recognition. 在 Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 3784 LNCS, Springer Verlag, 页码 248-256, 1st International Conference on Affective Computing and Intelligent Interaction, ACII 2005, Beijing, 中国, 22/10/05. https://doi.org/10.1007/11573548_32

A novel real time system for facial expression recognition. / Feng, Xiaoyi; Pietikäinen, Matti; Hadid, Abdenour 等.
Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings. Springer Verlag, 2005. 页码 248-256 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 3784 LNCS).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - A novel real time system for facial expression recognition

AU - Feng, Xiaoyi

AU - Pietikäinen, Matti

AU - Hadid, Abdenour

AU - Xie, Hongmei

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), which is insensitive to illumination changes. First, face is located and normalized based on an illumination insensitive skin model and face segmentation; then, the basic Local Binary Patterns (LBP) technique, which is invariant to monotonic grey level changes, is used for facial feature extraction; finally, a coarse-to-fine scheme is used for expression classification. Theoretical analysis and experimental results show that the proposed system performs well in variable illumination and some degree of head rotation.

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), which is insensitive to illumination changes. First, face is located and normalized based on an illumination insensitive skin model and face segmentation; then, the basic Local Binary Patterns (LBP) technique, which is invariant to monotonic grey level changes, is used for facial feature extraction; finally, a coarse-to-fine scheme is used for expression classification. Theoretical analysis and experimental results show that the proposed system performs well in variable illumination and some degree of head rotation.

UR - https://www.scopus.com/pages/publications/33646756579

U2 - 10.1007/11573548_32

DO - 10.1007/11573548_32

M3 - 会议稿件

AN - SCOPUS:33646756579

SN - 3540296212

SN - 9783540296218

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

SP - 248

EP - 256

BT - Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings

PB - Springer Verlag

T2 - 1st International Conference on Affective Computing and Intelligent Interaction, ACII 2005

Y2 - 22 October 2005 through 24 October 2005

ER -

Feng X, Pietikäinen M, Hadid A, Xie H. A novel real time system for facial expression recognition. 在 Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings. Springer Verlag. 2005. 页码 248-256. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11573548_32

A novel real time system for facial expression recognition

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