B-Spline-ORB Feature Point Extraction Algorithm
Aiming at the problem of poor scale invariance of traditional ORB algorithms, this paper proposes an ORB algorithm based on image golden tower. Firstly, Gauss image pyramid and B-Spline image pyramid are studied, and the two image pyramids are discussed through experiments. Experimental results show...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2022-06-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2101 |
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| author | LIU Ming-zhu CHEN Rui CHEN Jun-yu SUN Xiao-ming |
| author_facet | LIU Ming-zhu CHEN Rui CHEN Jun-yu SUN Xiao-ming |
| author_sort | LIU Ming-zhu |
| collection | DOAJ |
| description | Aiming at the problem of poor scale invariance of traditional ORB algorithms, this paper proposes an ORB algorithm based on image golden tower. Firstly, Gauss image pyramid and B-Spline image pyramid are studied, and the two image pyramids are discussed through experiments. Experimental results show that the image information of the third order B-Spline image pyramid is higher than that of the Golden Tower of Gauss image on the same layer. Secondly, the traditional ORB algorithm, the ORB algorithm based on Gaussian image pyramid and the ORB algorithm based on B-Spline image pyramid are discussed through experiments under the premise of changing image scale. Experimental results show that the registration rate of feature points extracted by ORB algorithm based on third-order B-Spline image pyramid is 40% higher than that of traditional ORB algorithm. At the same time, compared with the ORB algorithm based on gaussian image pyramid, the improved algorithm proposed in this paper has improved the matching accuracy and running speed. |
| format | Article |
| id | doaj-art-0074bd013e584ec396a952ce695bdb52 |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2022-06-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-0074bd013e584ec396a952ce695bdb522025-08-20T03:56:42ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832022-06-0127039710410.15938/j.jhust.2022.03.013B-Spline-ORB Feature Point Extraction AlgorithmLIU Ming-zhu0CHEN Rui1CHEN Jun-yu2SUN Xiao-ming3Heilongjiang Provincial Key Lab of Measurement and Control Technology and Instruments, Harbin University of Science and Technology, Harbin 150080, ChinaHeilongjiang Provincial Key Lab of Measurement and Control Technology and Instruments, Harbin University of Science and Technology, Harbin 150080, ChinaHeilongjiang Provincial Key Lab of Measurement and Control Technology and Instruments, Harbin University of Science and Technology, Harbin 150080, ChinaHeilongjiang Provincial Key Lab of Measurement and Control Technology and Instruments, Harbin University of Science and Technology, Harbin 150080, ChinaAiming at the problem of poor scale invariance of traditional ORB algorithms, this paper proposes an ORB algorithm based on image golden tower. Firstly, Gauss image pyramid and B-Spline image pyramid are studied, and the two image pyramids are discussed through experiments. Experimental results show that the image information of the third order B-Spline image pyramid is higher than that of the Golden Tower of Gauss image on the same layer. Secondly, the traditional ORB algorithm, the ORB algorithm based on Gaussian image pyramid and the ORB algorithm based on B-Spline image pyramid are discussed through experiments under the premise of changing image scale. Experimental results show that the registration rate of feature points extracted by ORB algorithm based on third-order B-Spline image pyramid is 40% higher than that of traditional ORB algorithm. At the same time, compared with the ORB algorithm based on gaussian image pyramid, the improved algorithm proposed in this paper has improved the matching accuracy and running speed.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2101feature point extractionimage pyramidorb algorithmb-spline |
| spellingShingle | LIU Ming-zhu CHEN Rui CHEN Jun-yu SUN Xiao-ming B-Spline-ORB Feature Point Extraction Algorithm Journal of Harbin University of Science and Technology feature point extraction image pyramid orb algorithm b-spline |
| title | B-Spline-ORB Feature Point Extraction Algorithm |
| title_full | B-Spline-ORB Feature Point Extraction Algorithm |
| title_fullStr | B-Spline-ORB Feature Point Extraction Algorithm |
| title_full_unstemmed | B-Spline-ORB Feature Point Extraction Algorithm |
| title_short | B-Spline-ORB Feature Point Extraction Algorithm |
| title_sort | b spline orb feature point extraction algorithm |
| topic | feature point extraction image pyramid orb algorithm b-spline |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2101 |
| work_keys_str_mv | AT liumingzhu bsplineorbfeaturepointextractionalgorithm AT chenrui bsplineorbfeaturepointextractionalgorithm AT chenjunyu bsplineorbfeaturepointextractionalgorithm AT sunxiaoming bsplineorbfeaturepointextractionalgorithm |