Facial Expression Recognition Using Fusion Features Based on Center-Symmetric Local Octonary Pattern
A local feature descriptor has gained a lot of interest in many applications, such as image retrieval, texture classification, and face recognition. This paper proposes a novel local feature descriptor: center-symmetric local octonary pattern (CS-LOP) for facial expression recognition. A CS-LOP oper...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8643861/ |
| _version_ | 1819120397933608960 |
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| author | Min Hu Yaqin Zheng Chunjian Yang Xiaohua Wang Lei He Fuji Ren |
| author_facet | Min Hu Yaqin Zheng Chunjian Yang Xiaohua Wang Lei He Fuji Ren |
| author_sort | Min Hu |
| collection | DOAJ |
| description | A local feature descriptor has gained a lot of interest in many applications, such as image retrieval, texture classification, and face recognition. This paper proposes a novel local feature descriptor: center-symmetric local octonary pattern (CS-LOP) for facial expression recognition. A CS-LOP operator not only considers the difference of the gray value between central pixels and neighboring pixels in all eight directions but also compares the gray value of four pairs of center-symmetric pixels. Besides, this paper used the CS-LOP to extract diverse features from the preprocessed facial image, the feature map of gradient magnitude, and the feature map of Gabor, and also to make extracted features more abundant and detailed. To evaluate the performance of the proposed method, experiments on JAFFE and CK facial expression datasets demonstrate that the proposed method outperforms the method using the individual descriptor. Compared with other state-of-the-art methods, our approach improves the overall recognition accuracy. |
| first_indexed | 2024-12-22T06:20:01Z |
| format | Article |
| id | doaj.art-97ecd30dc76d42fb9244f9b0089e4874 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T06:20:01Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-97ecd30dc76d42fb9244f9b0089e48742022-12-21T18:35:59ZengIEEEIEEE Access2169-35362019-01-017298822989010.1109/ACCESS.2019.28990248643861Facial Expression Recognition Using Fusion Features Based on Center-Symmetric Local Octonary PatternMin Hu0Yaqin Zheng1https://orcid.org/0000-0003-1605-3986Chunjian Yang2Xiaohua Wang3Lei He4Fuji Ren5School of Computer and Information, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei University of Technology, Hefei, ChinaSchool of Computer and Information, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei University of Technology, Hefei, ChinaSchool of Computer and Information, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei University of Technology, Hefei, ChinaSchool of Computer and Information, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei University of Technology, Hefei, ChinaSchool of Mathematics, Hefei University of Technology, Hefei, ChinaSchool of Computer and Information, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei University of Technology, Hefei, ChinaA local feature descriptor has gained a lot of interest in many applications, such as image retrieval, texture classification, and face recognition. This paper proposes a novel local feature descriptor: center-symmetric local octonary pattern (CS-LOP) for facial expression recognition. A CS-LOP operator not only considers the difference of the gray value between central pixels and neighboring pixels in all eight directions but also compares the gray value of four pairs of center-symmetric pixels. Besides, this paper used the CS-LOP to extract diverse features from the preprocessed facial image, the feature map of gradient magnitude, and the feature map of Gabor, and also to make extracted features more abundant and detailed. To evaluate the performance of the proposed method, experiments on JAFFE and CK facial expression datasets demonstrate that the proposed method outperforms the method using the individual descriptor. Compared with other state-of-the-art methods, our approach improves the overall recognition accuracy.https://ieeexplore.ieee.org/document/8643861/Facial expression recognitionfeature extractioncenter-symmetric local octonary patternfeature fusion |
| spellingShingle | Min Hu Yaqin Zheng Chunjian Yang Xiaohua Wang Lei He Fuji Ren Facial Expression Recognition Using Fusion Features Based on Center-Symmetric Local Octonary Pattern IEEE Access Facial expression recognition feature extraction center-symmetric local octonary pattern feature fusion |
| title | Facial Expression Recognition Using Fusion Features Based on Center-Symmetric Local Octonary Pattern |
| title_full | Facial Expression Recognition Using Fusion Features Based on Center-Symmetric Local Octonary Pattern |
| title_fullStr | Facial Expression Recognition Using Fusion Features Based on Center-Symmetric Local Octonary Pattern |
| title_full_unstemmed | Facial Expression Recognition Using Fusion Features Based on Center-Symmetric Local Octonary Pattern |
| title_short | Facial Expression Recognition Using Fusion Features Based on Center-Symmetric Local Octonary Pattern |
| title_sort | facial expression recognition using fusion features based on center symmetric local octonary pattern |
| topic | Facial expression recognition feature extraction center-symmetric local octonary pattern feature fusion |
| url | https://ieeexplore.ieee.org/document/8643861/ |
| work_keys_str_mv | AT minhu facialexpressionrecognitionusingfusionfeaturesbasedoncentersymmetriclocaloctonarypattern AT yaqinzheng facialexpressionrecognitionusingfusionfeaturesbasedoncentersymmetriclocaloctonarypattern AT chunjianyang facialexpressionrecognitionusingfusionfeaturesbasedoncentersymmetriclocaloctonarypattern AT xiaohuawang facialexpressionrecognitionusingfusionfeaturesbasedoncentersymmetriclocaloctonarypattern AT leihe facialexpressionrecognitionusingfusionfeaturesbasedoncentersymmetriclocaloctonarypattern AT fujiren facialexpressionrecognitionusingfusionfeaturesbasedoncentersymmetriclocaloctonarypattern |