A Method for Turning a Single Low-Cost Cube into a Reference Target for Point Cloud Registration

Target-based point cloud registration methods are still widely used by many laser scanning professionals due to their direct and manipulable nature. However, placing and moving multiple targets such as spheres for registration is a time-consuming and tactical process. When the number of scans gets l...

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Main Authors: Ting On Chan, Linyuan Xia, Derek D. Lichti, Xuanqi Wang, Xiong Peng, Yuezhen Cai, Ming Ho Li
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/3/1306
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author Ting On Chan
Linyuan Xia
Derek D. Lichti
Xuanqi Wang
Xiong Peng
Yuezhen Cai
Ming Ho Li
author_facet Ting On Chan
Linyuan Xia
Derek D. Lichti
Xuanqi Wang
Xiong Peng
Yuezhen Cai
Ming Ho Li
author_sort Ting On Chan
collection DOAJ
description Target-based point cloud registration methods are still widely used by many laser scanning professionals due to their direct and manipulable nature. However, placing and moving multiple targets such as spheres for registration is a time-consuming and tactical process. When the number of scans gets large, the time and labor costs will accumulate to a high level. In this paper, we propose a flexible registration method that requires the installation of only a low-cost cubical target: a die-like object. The method includes virtual coordinate system construction and two error compensation techniques, in which the non-orthogonality of the scanned facets, along with the unknown sizes of the dice are estimated based on projection geometry and cubical constraints so that three pairs of conjugate points can be accurately identified along the axes of the constructed coordinate systems for the registration. No scan overlap of the facet is needed. Two different low-cost dice (with a volume of 0.125 m<sup>3</sup> and 0.027 m<sup>3</sup>) were used for verifying the proposed method, which shows that the proposed method delivers registration accuracy (with an RMSE discrepancy of less than 0.5 mm for check planes) comparable to the traditional sphere- based method using four to six spherical targets spanning the scene. Therefore, the proposed method is particularly useful for registering point clouds in harsh scanning environments with limited target-setting space and high chances of target interruption.
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spelling doaj.art-f03416704888455a8762722bfc99181c2023-11-16T16:03:33ZengMDPI AGApplied Sciences2076-34172023-01-01133130610.3390/app13031306A Method for Turning a Single Low-Cost Cube into a Reference Target for Point Cloud RegistrationTing On Chan0Linyuan Xia1Derek D. Lichti2Xuanqi Wang3Xiong Peng4Yuezhen Cai5Ming Ho Li6School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, ChinaSchool of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, ChinaDepartment of Geomatics Engineering, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4, CanadaMinistry of Natural Resources of the People’s Republic of China, Beijing 100034, ChinaSchool of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, ChinaSchool of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, ChinaSchool of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, ChinaTarget-based point cloud registration methods are still widely used by many laser scanning professionals due to their direct and manipulable nature. However, placing and moving multiple targets such as spheres for registration is a time-consuming and tactical process. When the number of scans gets large, the time and labor costs will accumulate to a high level. In this paper, we propose a flexible registration method that requires the installation of only a low-cost cubical target: a die-like object. The method includes virtual coordinate system construction and two error compensation techniques, in which the non-orthogonality of the scanned facets, along with the unknown sizes of the dice are estimated based on projection geometry and cubical constraints so that three pairs of conjugate points can be accurately identified along the axes of the constructed coordinate systems for the registration. No scan overlap of the facet is needed. Two different low-cost dice (with a volume of 0.125 m<sup>3</sup> and 0.027 m<sup>3</sup>) were used for verifying the proposed method, which shows that the proposed method delivers registration accuracy (with an RMSE discrepancy of less than 0.5 mm for check planes) comparable to the traditional sphere- based method using four to six spherical targets spanning the scene. Therefore, the proposed method is particularly useful for registering point clouds in harsh scanning environments with limited target-setting space and high chances of target interruption.https://www.mdpi.com/2076-3417/13/3/1306laser scanningcubical targetdicepoint cloudregistrationcalibration
spellingShingle Ting On Chan
Linyuan Xia
Derek D. Lichti
Xuanqi Wang
Xiong Peng
Yuezhen Cai
Ming Ho Li
A Method for Turning a Single Low-Cost Cube into a Reference Target for Point Cloud Registration
Applied Sciences
laser scanning
cubical target
dice
point cloud
registration
calibration
title A Method for Turning a Single Low-Cost Cube into a Reference Target for Point Cloud Registration
title_full A Method for Turning a Single Low-Cost Cube into a Reference Target for Point Cloud Registration
title_fullStr A Method for Turning a Single Low-Cost Cube into a Reference Target for Point Cloud Registration
title_full_unstemmed A Method for Turning a Single Low-Cost Cube into a Reference Target for Point Cloud Registration
title_short A Method for Turning a Single Low-Cost Cube into a Reference Target for Point Cloud Registration
title_sort method for turning a single low cost cube into a reference target for point cloud registration
topic laser scanning
cubical target
dice
point cloud
registration
calibration
url https://www.mdpi.com/2076-3417/13/3/1306
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