Fast Local Collaborative Representation Based Classifier and Its Applications in Face Recognition
To solve the problem of high computational time complexity of collaborative representation based classification method(CRC),this paper proposes a local fast collaborative representation based classifier for face recognition by using the positive correlation between the reconstruction coefficient and...
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| Format: | Article |
| Language: | zho |
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Editorial office of Computer Science
2021-09-01
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| Series: | Jisuanji kexue |
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| Online Access: | http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-208.pdf |
| _version_ | 1818650423977836544 |
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| author | CHEN Chang-wei, ZHOU Xiao-feng |
| author_facet | CHEN Chang-wei, ZHOU Xiao-feng |
| author_sort | CHEN Chang-wei, ZHOU Xiao-feng |
| collection | DOAJ |
| description | To solve the problem of high computational time complexity of collaborative representation based classification method(CRC),this paper proposes a local fast collaborative representation based classifier for face recognition by using the positive correlation between the reconstruction coefficient and sample labels.Firstly,the least square method is used to solve the linear regression problem with a L2 norm constraint,and then the negative reconstruction coefficients which are unsuitable for classification are discarded.Finally,the maximum similarity criterion instead of the reconstruction criterion in CRC is adopted to determine the label of the test sample.The proposed method can receive better performance by taking local similarity into account,and consumes much less time without sample reconstruction than CRC.The experimental results on AR and CMU PIE datasets demonstrate that the proposed method consumes much less time than CRC,and can achieve better recognition accuracy than some state-of-the-art methods with varying illuminations,expressions and angles in facial images. |
| first_indexed | 2024-12-17T01:49:59Z |
| format | Article |
| id | doaj.art-f5e7d089f81640db8cd693c921029b53 |
| institution | Directory Open Access Journal |
| issn | 1002-137X |
| language | zho |
| last_indexed | 2024-12-17T01:49:59Z |
| publishDate | 2021-09-01 |
| publisher | Editorial office of Computer Science |
| record_format | Article |
| series | Jisuanji kexue |
| spelling | doaj.art-f5e7d089f81640db8cd693c921029b532022-12-21T22:08:06ZzhoEditorial office of Computer ScienceJisuanji kexue1002-137X2021-09-0148920821510.11896/jsjkx.200800155Fast Local Collaborative Representation Based Classifier and Its Applications in Face RecognitionCHEN Chang-wei, ZHOU Xiao-feng01 College of Computer and Information,Hohai University,Nanjing 210098,China <br/>2 College of Information and Engineering,Nanjing Xiaozhuang University,Nanjing 211171,ChinaTo solve the problem of high computational time complexity of collaborative representation based classification method(CRC),this paper proposes a local fast collaborative representation based classifier for face recognition by using the positive correlation between the reconstruction coefficient and sample labels.Firstly,the least square method is used to solve the linear regression problem with a L2 norm constraint,and then the negative reconstruction coefficients which are unsuitable for classification are discarded.Finally,the maximum similarity criterion instead of the reconstruction criterion in CRC is adopted to determine the label of the test sample.The proposed method can receive better performance by taking local similarity into account,and consumes much less time without sample reconstruction than CRC.The experimental results on AR and CMU PIE datasets demonstrate that the proposed method consumes much less time than CRC,and can achieve better recognition accuracy than some state-of-the-art methods with varying illuminations,expressions and angles in facial images.http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-208.pdfface recognition|linear regression|collaborative representation|manifold learning |
| spellingShingle | CHEN Chang-wei, ZHOU Xiao-feng Fast Local Collaborative Representation Based Classifier and Its Applications in Face Recognition Jisuanji kexue face recognition|linear regression|collaborative representation|manifold learning |
| title | Fast Local Collaborative Representation Based Classifier and Its Applications in Face Recognition |
| title_full | Fast Local Collaborative Representation Based Classifier and Its Applications in Face Recognition |
| title_fullStr | Fast Local Collaborative Representation Based Classifier and Its Applications in Face Recognition |
| title_full_unstemmed | Fast Local Collaborative Representation Based Classifier and Its Applications in Face Recognition |
| title_short | Fast Local Collaborative Representation Based Classifier and Its Applications in Face Recognition |
| title_sort | fast local collaborative representation based classifier and its applications in face recognition |
| topic | face recognition|linear regression|collaborative representation|manifold learning |
| url | http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-208.pdf |
| work_keys_str_mv | AT chenchangweizhouxiaofeng fastlocalcollaborativerepresentationbasedclassifieranditsapplicationsinfacerecognition |