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

School of Electronics and Information

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

7 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). 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.

Original language	English
Title of host publication	MICAI 2005
Subtitle of host publication	Advances in Artificial Intelligence - 4th Mexican International Conference on Artificial Intelligence, Proceedings
Publisher	Springer Verlag
Pages	328-336
Number of pages	9
ISBN (Print)	3540298967, 9783540298960
DOIs	https://doi.org/10.1007/11579427_33
State	Published - 2005
Event	4th Mexican International Conference on Artificial Intelligence, MICAI 2005 - Monterrey, Mexico Duration: 14 Nov 2005 → 18 Nov 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3789 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th Mexican International Conference on Artificial Intelligence, MICAI 2005
Country/Territory	Mexico
City	Monterrey
Period	14/11/05 → 18/11/05

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10.1007/11579427_33

Cite this

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

Feng, Xiaoyi ; Cui, Lie ; Pietikäinen, Matti et al. / 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. pp. 328-336 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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. in 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), vol. 3789 LNAI, Springer Verlag, pp. 328-336, 4th Mexican International Conference on Artificial Intelligence, MICAI 2005, Monterrey, Mexico, 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 et al.
MICAI 2005: Advances in Artificial Intelligence - 4th Mexican International Conference on Artificial Intelligence, Proceedings. Springer Verlag, 2005. p. 328-336 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3789 LNAI).

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

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AU - Cui, Lie

AU - Pietikäinen, Matti

AU - Hadid, Abdenour

PY - 2005

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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.

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

Y2 - 14 November 2005 through 18 November 2005

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Feng X, Cui L, Pietikäinen M, Hadid A. Real time facial expression recognition using local binary patterns and linear programming. In MICAI 2005: Advances in Artificial Intelligence - 4th Mexican International Conference on Artificial Intelligence, Proceedings. Springer Verlag. 2005. p. 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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