Automatic facial expression recognition using SVM based on AAMs

Li Wang; Ruifeng Li; Ke Wang

doi:10.1109/IHMSC.2013.226

Automatic facial expression recognition using SVM based on AAMs

Li Wang, Ruifeng Li, Ke Wang

Harbin Institute of Technology

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

2 Citations (Scopus)

Abstract

An automatic facial expression recognition method is proposed to effectively recognize facial expression without any region unrelated to facial region. Support Vector Machine (SVM) is applied to recognize facial expression by Gabor features extracting using Gabor wavelet transformation after separate facial region from images Based on Active Appearance Models (AAMs), which reduce influence of illumination and pose. The feasibility and effectiveness of this system are verified by multiple experiments, and satisfied results are achieved.

Original language	English
Title of host publication	Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
Pages	330-333
Number of pages	4
DOIs	https://doi.org/10.1109/IHMSC.2013.226
Publication status	Published - 2013
Externally published	Yes
Event	2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013 - Hangzhou, Zhejiang, China Duration: 26 Aug 2013 → 27 Aug 2013

Publication series

Name	Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
Volume	2

Conference

Conference	2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013
Country/Territory	China
City	Hangzhou, Zhejiang
Period	26/08/13 → 27/08/13

Keywords

Active Appearance Models
Facial expression recognition
Gabor feature
Support Vector Machine

Access to Document

10.1109/IHMSC.2013.226

Cite this

Wang, L., Li, R., & Wang, K. (2013). Automatic facial expression recognition using SVM based on AAMs. In Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013 (pp. 330-333). Article 6642754 (Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013; Vol. 2). https://doi.org/10.1109/IHMSC.2013.226

@inproceedings{08839d1b57a2459e939b09982d0b17b0,

title = "Automatic facial expression recognition using SVM based on AAMs",

abstract = "An automatic facial expression recognition method is proposed to effectively recognize facial expression without any region unrelated to facial region. Support Vector Machine (SVM) is applied to recognize facial expression by Gabor features extracting using Gabor wavelet transformation after separate facial region from images Based on Active Appearance Models (AAMs), which reduce influence of illumination and pose. The feasibility and effectiveness of this system are verified by multiple experiments, and satisfied results are achieved.",

keywords = "Active Appearance Models, Facial expression recognition, Gabor feature, Support Vector Machine",

author = "Li Wang and Ruifeng Li and Ke Wang",

year = "2013",

doi = "10.1109/IHMSC.2013.226",

language = "English",

isbn = "9780769550114",

series = "Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013",

pages = "330--333",

booktitle = "Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013",

note = "2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013 ; Conference date: 26-08-2013 Through 27-08-2013",

}

Wang, L, Li, R & Wang, K 2013, Automatic facial expression recognition using SVM based on AAMs. in Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013., 6642754, Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013, vol. 2, pp. 330-333, 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013, Hangzhou, Zhejiang, China, 26/08/13. https://doi.org/10.1109/IHMSC.2013.226

Automatic facial expression recognition using SVM based on AAMs. / Wang, Li; Li, Ruifeng; Wang, Ke.
Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013. 2013. p. 330-333 6642754 (Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013; Vol. 2).

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

TY - GEN

T1 - Automatic facial expression recognition using SVM based on AAMs

AU - Wang, Li

AU - Li, Ruifeng

AU - Wang, Ke

PY - 2013

Y1 - 2013

N2 - An automatic facial expression recognition method is proposed to effectively recognize facial expression without any region unrelated to facial region. Support Vector Machine (SVM) is applied to recognize facial expression by Gabor features extracting using Gabor wavelet transformation after separate facial region from images Based on Active Appearance Models (AAMs), which reduce influence of illumination and pose. The feasibility and effectiveness of this system are verified by multiple experiments, and satisfied results are achieved.

AB - An automatic facial expression recognition method is proposed to effectively recognize facial expression without any region unrelated to facial region. Support Vector Machine (SVM) is applied to recognize facial expression by Gabor features extracting using Gabor wavelet transformation after separate facial region from images Based on Active Appearance Models (AAMs), which reduce influence of illumination and pose. The feasibility and effectiveness of this system are verified by multiple experiments, and satisfied results are achieved.

KW - Active Appearance Models

KW - Facial expression recognition

KW - Gabor feature

KW - Support Vector Machine

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U2 - 10.1109/IHMSC.2013.226

DO - 10.1109/IHMSC.2013.226

M3 - Conference contribution

AN - SCOPUS:84891848186

SN - 9780769550114

T3 - Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013

SP - 330

EP - 333

BT - Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013

T2 - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013

Y2 - 26 August 2013 through 27 August 2013

ER -

Wang L, Li R, Wang K. Automatic facial expression recognition using SVM based on AAMs. In Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013. 2013. p. 330-333. 6642754. (Proceedings - 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013). doi: 10.1109/IHMSC.2013.226

Automatic facial expression recognition using SVM based on AAMs

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