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

School of Electronics and Information

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings
Pages	248-256
Number of pages	9
DOIs	https://doi.org/10.1007/11573548_32
State	Published - 2005
Event	1st International Conference on ffective Computing and Intelligent Interaction, ACII 2005 - Beijing, China Duration: 22 Oct 2005 → 24 Oct 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3784 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Conference on ffective Computing and Intelligent Interaction, ACII 2005
Country/Territory	China
City	Beijing
Period	22/10/05 → 24/10/05

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10.1007/11573548_32

Cite this

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

Feng, Xiaoyi ; Pietikäinen, Matti ; Hadid, Abdenour et al. / A novel real time system for facial expression recognition. Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings. 2005. pp. 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)",

pages = "248--256",

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

note = "1st International Conference on ffective 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. in 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), vol. 3784 LNCS, pp. 248-256, 1st International Conference on ffective Computing and Intelligent Interaction, ACII 2005, Beijing, China, 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 et al.
Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings. 2005. p. 248-256 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3784 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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.

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Feng X, Pietikäinen M, Hadid A, Xie H. A novel real time system for facial expression recognition. In Affective Computing and Intelligent Interaction - First International Conference, ACII 2005, Proceedings. 2005. p. 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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