A Calibration Method for a Self-Rotating, Linear-Structured-Light Scanning, Three-Dimensional Reconstruction System Based on Plane Constraints
This paper proposes a calibration method for a self-rotating, linear-structured-light (LSL) scanning, three-dimensional reconstruction system based on plane constraints. The point cloud of plane target collected by the self-rotating, LSL scanning, 3D reconstruction system should be constrained to th...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/24/8359 |
| _version_ | 1797500754681921536 |
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| author | Jianping Zhao Yong Cheng Gen Cai Shengbo He Libing Liao Guoqiang Wu Li Yang Chang Feng |
| author_facet | Jianping Zhao Yong Cheng Gen Cai Shengbo He Libing Liao Guoqiang Wu Li Yang Chang Feng |
| author_sort | Jianping Zhao |
| collection | DOAJ |
| description | This paper proposes a calibration method for a self-rotating, linear-structured-light (LSL) scanning, three-dimensional reconstruction system based on plane constraints. The point cloud of plane target collected by the self-rotating, LSL scanning, 3D reconstruction system should be constrained to the basic principle of the plane equation; it can quickly and accurately calibrate the position parameters between the coordinate system of the LSL module and the coordinate system of the self-rotating, LSL scanning, 3D reconstruction system. Additionally, the transformation equation could be established with the calibrated optimal position parameters. This paper obtains the above-mentioned position parameters through experiments and uses the calibrated self-rotating, LSL scanning, 3D reconstruction system to perform three-dimensional scanning and reconstruction of the test piece. The experimental results show that the calibration method can effectively improve the measurement accuracy of the system. |
| first_indexed | 2024-03-10T03:08:23Z |
| format | Article |
| id | doaj.art-1d71eafa98544a8385aa3c35e7128e57 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T03:08:23Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1d71eafa98544a8385aa3c35e7128e572023-11-23T10:30:22ZengMDPI AGSensors1424-82202021-12-012124835910.3390/s21248359A Calibration Method for a Self-Rotating, Linear-Structured-Light Scanning, Three-Dimensional Reconstruction System Based on Plane ConstraintsJianping Zhao0Yong Cheng1Gen Cai2Shengbo He3Libing Liao4Guoqiang Wu5Li Yang6Chang Feng7Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, ChinaInstitute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, ChinaThis paper proposes a calibration method for a self-rotating, linear-structured-light (LSL) scanning, three-dimensional reconstruction system based on plane constraints. The point cloud of plane target collected by the self-rotating, LSL scanning, 3D reconstruction system should be constrained to the basic principle of the plane equation; it can quickly and accurately calibrate the position parameters between the coordinate system of the LSL module and the coordinate system of the self-rotating, LSL scanning, 3D reconstruction system. Additionally, the transformation equation could be established with the calibrated optimal position parameters. This paper obtains the above-mentioned position parameters through experiments and uses the calibrated self-rotating, LSL scanning, 3D reconstruction system to perform three-dimensional scanning and reconstruction of the test piece. The experimental results show that the calibration method can effectively improve the measurement accuracy of the system.https://www.mdpi.com/1424-8220/21/24/8359linear-structured lightthree-dimensional reconstructionrotation centercalibration |
| spellingShingle | Jianping Zhao Yong Cheng Gen Cai Shengbo He Libing Liao Guoqiang Wu Li Yang Chang Feng A Calibration Method for a Self-Rotating, Linear-Structured-Light Scanning, Three-Dimensional Reconstruction System Based on Plane Constraints Sensors linear-structured light three-dimensional reconstruction rotation center calibration |
| title | A Calibration Method for a Self-Rotating, Linear-Structured-Light Scanning, Three-Dimensional Reconstruction System Based on Plane Constraints |
| title_full | A Calibration Method for a Self-Rotating, Linear-Structured-Light Scanning, Three-Dimensional Reconstruction System Based on Plane Constraints |
| title_fullStr | A Calibration Method for a Self-Rotating, Linear-Structured-Light Scanning, Three-Dimensional Reconstruction System Based on Plane Constraints |
| title_full_unstemmed | A Calibration Method for a Self-Rotating, Linear-Structured-Light Scanning, Three-Dimensional Reconstruction System Based on Plane Constraints |
| title_short | A Calibration Method for a Self-Rotating, Linear-Structured-Light Scanning, Three-Dimensional Reconstruction System Based on Plane Constraints |
| title_sort | calibration method for a self rotating linear structured light scanning three dimensional reconstruction system based on plane constraints |
| topic | linear-structured light three-dimensional reconstruction rotation center calibration |
| url | https://www.mdpi.com/1424-8220/21/24/8359 |
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