Image matching via progressive priors
Abstract It is a fundamental and challenging issue how to improve the accuracy of image matching in computer vision. To address this issue, an image matching method is proposed, which is via progressive priors of a putative dataset. Distance ratio antecedents of a presumptive dataset are initially e...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-09-01
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| Series: | Electronics Letters |
| Online Access: | https://doi.org/10.1049/ell2.12590 |
| _version_ | 1811159864964022272 |
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| author | Weiqing Wang Yongrong Sun Kedong Zhao Zhong Liu Wenjun Luo Jinchang Qin |
| author_facet | Weiqing Wang Yongrong Sun Kedong Zhao Zhong Liu Wenjun Luo Jinchang Qin |
| author_sort | Weiqing Wang |
| collection | DOAJ |
| description | Abstract It is a fundamental and challenging issue how to improve the accuracy of image matching in computer vision. To address this issue, an image matching method is proposed, which is via progressive priors of a putative dataset. Distance ratio antecedents of a presumptive dataset are initially employed to calculate a tentative deformation through geometric constraints. Progressive priors of the presumptive dataset, obtained by the tentative deformation, are then engaged to improve the accuracy of image matching by estimating a global deformation. The comparison experiments illustrate that our proposed method more effectively enhances the accuracy of image matching than six state‐of‐the‐art methods. |
| first_indexed | 2024-04-10T05:49:03Z |
| format | Article |
| id | doaj.art-dc5e5c3a46504a48b9326937eef945b7 |
| institution | Directory Open Access Journal |
| issn | 0013-5194 1350-911X |
| language | English |
| last_indexed | 2024-04-10T05:49:03Z |
| publishDate | 2022-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Electronics Letters |
| spelling | doaj.art-dc5e5c3a46504a48b9326937eef945b72023-03-05T10:25:35ZengWileyElectronics Letters0013-51941350-911X2022-09-01581972973110.1049/ell2.12590Image matching via progressive priorsWeiqing Wang0Yongrong Sun1Kedong Zhao2Zhong Liu3Wenjun Luo4Jinchang Qin5College of Automation Engineering Navigation Research Center Nanjing University of Aeronautics and Astronautics Nanjing ChinaCollege of Automation Engineering Navigation Research Center Nanjing University of Aeronautics and Astronautics Nanjing ChinaCollege of Automation Engineering Navigation Research Center Nanjing University of Aeronautics and Astronautics Nanjing ChinaSchool of Mechanical and Electrical Engineering Guilin University of Aerospace Technology Guilin ChinaSchool of Mechanical and Electrical Engineering Guilin University of Aerospace Technology Guilin ChinaSchool of Mechanical and Electrical Engineering Guilin University of Aerospace Technology Guilin ChinaAbstract It is a fundamental and challenging issue how to improve the accuracy of image matching in computer vision. To address this issue, an image matching method is proposed, which is via progressive priors of a putative dataset. Distance ratio antecedents of a presumptive dataset are initially employed to calculate a tentative deformation through geometric constraints. Progressive priors of the presumptive dataset, obtained by the tentative deformation, are then engaged to improve the accuracy of image matching by estimating a global deformation. The comparison experiments illustrate that our proposed method more effectively enhances the accuracy of image matching than six state‐of‐the‐art methods.https://doi.org/10.1049/ell2.12590 |
| spellingShingle | Weiqing Wang Yongrong Sun Kedong Zhao Zhong Liu Wenjun Luo Jinchang Qin Image matching via progressive priors Electronics Letters |
| title | Image matching via progressive priors |
| title_full | Image matching via progressive priors |
| title_fullStr | Image matching via progressive priors |
| title_full_unstemmed | Image matching via progressive priors |
| title_short | Image matching via progressive priors |
| title_sort | image matching via progressive priors |
| url | https://doi.org/10.1049/ell2.12590 |
| work_keys_str_mv | AT weiqingwang imagematchingviaprogressivepriors AT yongrongsun imagematchingviaprogressivepriors AT kedongzhao imagematchingviaprogressivepriors AT zhongliu imagematchingviaprogressivepriors AT wenjunluo imagematchingviaprogressivepriors AT jinchangqin imagematchingviaprogressivepriors |