Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding
Sparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of facial expression recognition via non-negative least squares (NNLS) sparse coding is presented in this paper. The NNLS sparse coding is used to form a facial expression class...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-05-01
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| Series: | Information |
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| Online Access: | http://www.mdpi.com/2078-2489/5/2/305 |
| _version_ | 1819095579723038720 |
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| author | Ying Chen Shiqing Zhang Xiaoming Zhao |
| author_facet | Ying Chen Shiqing Zhang Xiaoming Zhao |
| author_sort | Ying Chen |
| collection | DOAJ |
| description | Sparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of facial expression recognition via non-negative least squares (NNLS) sparse coding is presented in this paper. The NNLS sparse coding is used to form a facial expression classifier. To testify the performance of the presented method, local binary patterns (LBP) and the raw pixels are extracted for facial feature representation. Facial expression recognition experiments are conducted on the Japanese Female Facial Expression (JAFFE) database. Compared with other widely used methods such as linear support vector machines (SVM), sparse representation-based classifier (SRC), nearest subspace classifier (NSC), K-nearest neighbor (KNN) and radial basis function neural networks (RBFNN), the experiment results indicate that the presented NNLS method performs better than other used methods on facial expression recognition tasks. |
| first_indexed | 2024-12-21T23:45:33Z |
| format | Article |
| id | doaj.art-200d9f8668fe442794b1148d28abf95c |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-12-21T23:45:33Z |
| publishDate | 2014-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-200d9f8668fe442794b1148d28abf95c2022-12-21T18:46:06ZengMDPI AGInformation2078-24892014-05-015230531810.3390/info5020305info5020305Facial Expression Recognition via Non-Negative Least-Squares Sparse CodingYing Chen0Shiqing Zhang1Xiaoming Zhao2Institute of Image Processing and Pattern Recognition, Taizhou University, Taizhou 317000, ChinaInstitute of Image Processing and Pattern Recognition, Taizhou University, Taizhou 317000, ChinaInstitute of Image Processing and Pattern Recognition, Taizhou University, Taizhou 317000, ChinaSparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of facial expression recognition via non-negative least squares (NNLS) sparse coding is presented in this paper. The NNLS sparse coding is used to form a facial expression classifier. To testify the performance of the presented method, local binary patterns (LBP) and the raw pixels are extracted for facial feature representation. Facial expression recognition experiments are conducted on the Japanese Female Facial Expression (JAFFE) database. Compared with other widely used methods such as linear support vector machines (SVM), sparse representation-based classifier (SRC), nearest subspace classifier (NSC), K-nearest neighbor (KNN) and radial basis function neural networks (RBFNN), the experiment results indicate that the presented NNLS method performs better than other used methods on facial expression recognition tasks.http://www.mdpi.com/2078-2489/5/2/305non-negative least-squaressparse codinglocal binary patternsfacial expression recognition |
| spellingShingle | Ying Chen Shiqing Zhang Xiaoming Zhao Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding Information non-negative least-squares sparse coding local binary patterns facial expression recognition |
| title | Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding |
| title_full | Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding |
| title_fullStr | Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding |
| title_full_unstemmed | Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding |
| title_short | Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding |
| title_sort | facial expression recognition via non negative least squares sparse coding |
| topic | non-negative least-squares sparse coding local binary patterns facial expression recognition |
| url | http://www.mdpi.com/2078-2489/5/2/305 |
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