NDLI: Feature fusion of HOG and WLD for facial expression recognition

Content Provider	IEEE Xplore Digital Library
Author	Xiaohua Wang Chao Jin Wei Liu Min Hu Liangfeng Xu Fuji Ren
Copyright Year	2013
Description	Author affiliation: AnHui Province Key Lab. of Affective Comput. & Adv. Intell. Machine & Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China (Xiaohua Wang; Chao Jin; Wei Liu; Min Hu) \|\| Univ. of Tokushima, Tokushima, Japan (Fuji Ren) \|\| Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China (Liangfeng Xu)
Abstract	A considerable amount of research work has been done for facial expression recognition using local or global feature extraction methods. Weber Local Descriptor (WLD), a simple and robust local image descriptor, is recently developed for local feature extraction. In facial expression recognition, the information contained in the local is important for the recognition result. The Histograms of Oriented Gradients (HOG) can well describe the local area information using gradient and orientation density distribution of the edge. In order to solve the lack of contour and shape information only by WLD features and to extract facial local features more efficiently, we propose a hybrid approach that combines the WLD with HOG features. We divide the images into blocks and weight each of them, then extract the two features and fuse them. At last, the weighted fused histograms are used to classify facial expressions by chi-square distance and the nearest neighbor method. The proposed method is applied on popular JAFFE and Cohn-Kanade facial expression databases and recognition rate is up to 93.97% and 95.86%. Compared with the Gabor Wavelet, LBP, and AAM and experimental results show that the proposed method achieves better performance for facial expression recognition.
Sponsorship	IEEE Ind. Electron. Soc.
Starting Page	227
Ending Page	232
File Size	692390
Page Count	6
File Format	PDF
e-ISBN	9781479926251
DOI	10.1109/SII.2013.6776664
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-15
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Databases Face recognition Feature Fusion Facial Expression Recognition Weber Local Descriptor Feature extraction Histograms of Oriented Gradients Active appearance model Data mining Equations
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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