Volume 8 Number 11 (Nov. 2013)
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JSW 2013 Vol.8(11): 2790-2795 ISSN: 1796-217X
doi: 10.4304/jsw.8.11.2790-2795

Facial Expression Feature Extraction Based on FastLBP

Ya Zheng, Xiuxin Chen, Chongchong Yu, Cheng Gao
Computer and Information Engineering Department of Beijing Technology and Business University, Beijing, China

Abstract—The methods of facial expression feature extraction based on traditional LBP have some drawbacks such as complexity, high dimension of feature vectors, which may reduce the efficiency of subsequent recognition process. To solve the above problems, this paper proposes an improved LBP algorithm——FastLBP(FLBP). FLBP compresses the feature vectors described by LBP histogram to decrease the complexity of the algorithm. This method increases the efficiency of training and testing in facial expression recognition and ensures the accuracy of recognition at the same time. The experimental results show that FLBP proposed by this paper is fast and effective.

Index Terms—LBP, fastPCA, Facial expression feature extraction, Facial expression recognition.

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Cite: Ya Zheng, Xiuxin Chen, Chongchong Yu, Cheng Gao, "Facial Expression Feature Extraction Based on FastLBP," Journal of Software vol. 8, no. 11, pp. 2790-2795, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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