Point Cloud Registration in Multidirectional Affine Transformation
Point clouds scanned by three-dimensional lasers may be multidirectional affine transformed when the specifications for the products, laser scanners, and thermal expansion are incompatible. If a point cloud is out of order in such a case, many existing algorithms may not be suitable to solve the pro...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8525380/ |
| _version_ | 1818914486124281856 |
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| author | Chang Wang Qin Shu Yunxiu Yang Fei Yuan |
| author_facet | Chang Wang Qin Shu Yunxiu Yang Fei Yuan |
| author_sort | Chang Wang |
| collection | DOAJ |
| description | Point clouds scanned by three-dimensional lasers may be multidirectional affine transformed when the specifications for the products, laser scanners, and thermal expansion are incompatible. If a point cloud is out of order in such a case, many existing algorithms may not be suitable to solve the problem. Therefore, this paper proposes a multidirectional affine registration (MDAR) algorithm based on the statistical characteristics and shape features of point clouds. First, we transform the problem into a problem of finding certain matrix eigenvalues. In addition, the similarity of the global vector features is introduced, and the scaling factor is calculated by maximizing the similarity. Finally, using the estimated affine factors, the multidirectional affine registration is transformed into a rigid registration. Simulation results show that the MDAR algorithm has better accuracy and less time consumption than several existing algorithms. |
| first_indexed | 2024-12-19T23:47:09Z |
| format | Article |
| id | doaj.art-fb746bb48b114515adf5544a11c1599e |
| institution | Directory Open Access Journal |
| issn | 1943-0655 |
| language | English |
| last_indexed | 2024-12-19T23:47:09Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj.art-fb746bb48b114515adf5544a11c1599e2022-12-21T20:01:16ZengIEEEIEEE Photonics Journal1943-06552018-01-0110611510.1109/JPHOT.2018.28766898525380Point Cloud Registration in Multidirectional Affine TransformationChang Wang0https://orcid.org/0000-0003-1713-3443Qin Shu1https://orcid.org/0000-0002-7225-6043Yunxiu Yang2Fei Yuan3College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, ChinaCollege of Electrical Engineering and Information Technology, Sichuan University, Chengdu, ChinaSouthwest Institute of Technical Physics, Chengdu, ChinaSouthwest Institute of Technical Physics, Chengdu, ChinaPoint clouds scanned by three-dimensional lasers may be multidirectional affine transformed when the specifications for the products, laser scanners, and thermal expansion are incompatible. If a point cloud is out of order in such a case, many existing algorithms may not be suitable to solve the problem. Therefore, this paper proposes a multidirectional affine registration (MDAR) algorithm based on the statistical characteristics and shape features of point clouds. First, we transform the problem into a problem of finding certain matrix eigenvalues. In addition, the similarity of the global vector features is introduced, and the scaling factor is calculated by maximizing the similarity. Finally, using the estimated affine factors, the multidirectional affine registration is transformed into a rigid registration. Simulation results show that the MDAR algorithm has better accuracy and less time consumption than several existing algorithms.https://ieeexplore.ieee.org/document/8525380/Affinepoint cloud registrationnewton iterative methodsimilaritynewtonian difference |
| spellingShingle | Chang Wang Qin Shu Yunxiu Yang Fei Yuan Point Cloud Registration in Multidirectional Affine Transformation IEEE Photonics Journal Affine point cloud registration newton iterative method similarity newtonian difference |
| title | Point Cloud Registration in Multidirectional Affine Transformation |
| title_full | Point Cloud Registration in Multidirectional Affine Transformation |
| title_fullStr | Point Cloud Registration in Multidirectional Affine Transformation |
| title_full_unstemmed | Point Cloud Registration in Multidirectional Affine Transformation |
| title_short | Point Cloud Registration in Multidirectional Affine Transformation |
| title_sort | point cloud registration in multidirectional affine transformation |
| topic | Affine point cloud registration newton iterative method similarity newtonian difference |
| url | https://ieeexplore.ieee.org/document/8525380/ |
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