An analysis of triangulation reconstruction based on 3D point cloud with geometric features

Rongrui Gu; Anbin Sun; Yaru Li; Zhongyu Wang

doi:10.1117/12.2616832

19 November 2021 An analysis of triangulation reconstruction based on 3D point cloud with geometric features

Rongrui Gu, Anbin Sun, Yaru Li, Zhongyu Wang

Author Affiliations +

Proceedings Volume 12059, Tenth International Symposium on Precision Mechanical Measurements; 120591Y (2021) https://doi.org/10.1117/12.2616832
Event: Tenth International Symposium on Precision Mechanical Measurements, 2021, Qingdao, China

Abstract

The reconstruction of 3D point cloud is the core of reverse engineering and widely applied in industrial field. Focused on the problem of data redundancy and calculation, the reconstruction procedure is realized and the influence of various triangulation methods on geometric features is analyzed. The point cloud data pre-processing is implemented first based on C++ Point Cloud Library (PCL) in the paper, including filtering and smoothing, outlier removal, valid points extraction, simplification, and hole filling. Then the Greedy Projection Triangulation and the Poisson Reconstruction methods are applied separately to reconstruct the mesh models. The spherical center distance and diameter of calibration board are selected as the geometric characteristic parameters to assess the reconstruction quality. The relative error is calculated according to the true value and the average of multiple measurements on the parameters. For the distance feature, the results show that the two methods have similar accuracy. For the diameter feature, the Greedy Projection Triangulation is further suitable than the Poisson reconstruction, and the relative error of which is less than 0.18%.

Citation Download Citation

Rongrui Gu, Anbin Sun, Yaru Li, and Zhongyu Wang "An analysis of triangulation reconstruction based on 3D point cloud with geometric features", Proc. SPIE 12059, Tenth International Symposium on Precision Mechanical Measurements, 120591Y (19 November 2021); https://doi.org/10.1117/12.2616832

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KEYWORDS

Clouds

Reconstruction algorithms

Calibration

Data modeling

Data centers

3D modeling

3D metrology

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