Classroom Micro-Expression Recognition Algorithms Based on Multi-Feature Fusion
The extraction of facial features is the key to micro-expression recognition. This paper puts forward a micro-expression recognition algorithm through multi-feature fusion. In this algorithm, the change of local binary pattern (LBP) feature distribution is correlated with projection error. For fast...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8716671/ |
| _version_ | 1819276296258060288 |
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| author | Lidan Mao Ning Wang Lei Wang Yu Chen |
| author_facet | Lidan Mao Ning Wang Lei Wang Yu Chen |
| author_sort | Lidan Mao |
| collection | DOAJ |
| description | The extraction of facial features is the key to micro-expression recognition. This paper puts forward a micro-expression recognition algorithm through multi-feature fusion. In this algorithm, the change of local binary pattern (LBP) feature distribution is correlated with projection error. For fast and accurate detection, the research data were all extracted from professional facial expression databases, the images had basically the same positions in each expression library, and the pure face image was acquired through manual segmentation from the selected expression library. Through comparison and its application in an intelligent classroom environment, it is proved that the proposed algorithm clearly outperforms the original LBP algorithm. The proposed method can be extended to other image recognition and classification problems. |
| first_indexed | 2024-12-23T23:37:58Z |
| format | Article |
| id | doaj.art-a1134c86e2c644a9b418db2e0c6d3861 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-23T23:37:58Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a1134c86e2c644a9b418db2e0c6d38612022-12-21T17:25:50ZengIEEEIEEE Access2169-35362019-01-017649786498310.1109/ACCESS.2019.29172308716671Classroom Micro-Expression Recognition Algorithms Based on Multi-Feature FusionLidan Mao0https://orcid.org/0000-0002-3234-1999Ning Wang1Lei Wang2Yu Chen3College of Foreign Languages, Hebei Agricultural University, Baoding, ChinaCollege of Foreign Languages, Hebei Agricultural University, Baoding, ChinaPhysical Education Department, Hebei Agricultural University, Baoding, ChinaHebei Software Institute, Baoding, ChinaThe extraction of facial features is the key to micro-expression recognition. This paper puts forward a micro-expression recognition algorithm through multi-feature fusion. In this algorithm, the change of local binary pattern (LBP) feature distribution is correlated with projection error. For fast and accurate detection, the research data were all extracted from professional facial expression databases, the images had basically the same positions in each expression library, and the pure face image was acquired through manual segmentation from the selected expression library. Through comparison and its application in an intelligent classroom environment, it is proved that the proposed algorithm clearly outperforms the original LBP algorithm. The proposed method can be extended to other image recognition and classification problems.https://ieeexplore.ieee.org/document/8716671/Classroom micro-expression recognitionprojection errormulti-feature fusionlocal binary pattern (LBP) |
| spellingShingle | Lidan Mao Ning Wang Lei Wang Yu Chen Classroom Micro-Expression Recognition Algorithms Based on Multi-Feature Fusion IEEE Access Classroom micro-expression recognition projection error multi-feature fusion local binary pattern (LBP) |
| title | Classroom Micro-Expression Recognition Algorithms Based on Multi-Feature Fusion |
| title_full | Classroom Micro-Expression Recognition Algorithms Based on Multi-Feature Fusion |
| title_fullStr | Classroom Micro-Expression Recognition Algorithms Based on Multi-Feature Fusion |
| title_full_unstemmed | Classroom Micro-Expression Recognition Algorithms Based on Multi-Feature Fusion |
| title_short | Classroom Micro-Expression Recognition Algorithms Based on Multi-Feature Fusion |
| title_sort | classroom micro expression recognition algorithms based on multi feature fusion |
| topic | Classroom micro-expression recognition projection error multi-feature fusion local binary pattern (LBP) |
| url | https://ieeexplore.ieee.org/document/8716671/ |
| work_keys_str_mv | AT lidanmao classroommicroexpressionrecognitionalgorithmsbasedonmultifeaturefusion AT ningwang classroommicroexpressionrecognitionalgorithmsbasedonmultifeaturefusion AT leiwang classroommicroexpressionrecognitionalgorithmsbasedonmultifeaturefusion AT yuchen classroommicroexpressionrecognitionalgorithmsbasedonmultifeaturefusion |