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      Vision-based reconstruction of laser projection with invariant composed of points and circle on 2D reference

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          Abstract

          A vision-based reconstruction method is conducted by the point-circle invariant and the planar laser. The planar laser is coplanar to the two-dimensional (2D) reference. The combination of a circle on the 2D reference, a point on the 2D reference and a random point on the laser stripe is considered as the invariant, which is impervious to the projection from the laser plane to the image. Therefore, the reconstruction model is achieved by the invariant, which is generated from the projections of the above geometric features. The experiments are performed to verify the performance and reconstruction error of the method. The minimum error is 0.473 mm for the camera-reference distance of 600 mm, the scaleplate-projector distance of 100 mm and the reference length of 30 mm. Besides, the maximum error is 4.960 mm, for the camera-reference distance of 900 mm, the scaleplate-projector distance of 400 mm and the reference length of 120 mm. The reconstruction error means of 0.891 mm, 1.365 mm, 2.578 mm and 3.767 mm are observed with respect to the test conditions of 600–900 mm, which proves the applicability of the reconstruction method with the point-circle invariant.

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                Author and article information

                Contributors
                jluchenrong@163.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                17 July 2020
                17 July 2020
                2020
                : 10
                : 11866
                Affiliations
                [1 ]ISNI 0000 0004 1760 5735, GRID grid.64924.3d, Transportation College, Nanling Campus, , Jilin University, ; Renmin Str. 5988#, Changchun, China
                [2 ]ISNI 0000 0004 1760 5735, GRID grid.64924.3d, School of Mechanical and Aerospace Engineering, Nanling Campus, , Jilin University, ; Renmin Str. 5988#, Changchun, China
                Article
                68901
                10.1038/s41598-020-68901-7
                7368060
                32681059
                c394cdc9-233b-4b84-85ab-ad0498ee82b1
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 May 2020
                : 2 July 2020
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 51875247
                Award Recipient :
                Categories
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                © The Author(s) 2020

                Uncategorized
                imaging and sensing,optical metrology
                Uncategorized
                imaging and sensing, optical metrology

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