Geometric Modeling of Rosa roxburghii Fruit Based on Three-Dimensional Point Cloud Reconstruction
Fruit three-dimensional (3D) model is crucial to estimating its geometrical and mechanical properties and improving the level of fruit mechanical processing. Considering the complex geometrical features and the required model accuracy, this paper proposed a 3D point cloud reconstruction method for t...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Food Quality |
| Online Access: | http://dx.doi.org/10.1155/2021/9990499 |
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| _version_ | 1832566269939810304 |
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| author | Zhiping Xie Yancheng Lang Luqi Chen |
| author_facet | Zhiping Xie Yancheng Lang Luqi Chen |
| author_sort | Zhiping Xie |
| collection | DOAJ |
| description | Fruit three-dimensional (3D) model is crucial to estimating its geometrical and mechanical properties and improving the level of fruit mechanical processing. Considering the complex geometrical features and the required model accuracy, this paper proposed a 3D point cloud reconstruction method for the Rosa roxburghii fruit based on a three-dimensional laser scanner, including 3D point cloud generation, point cloud registration, fruit thorns segmentation, and 3D reconstruction. The 3D laser scanner was used to obtain the original 3D point cloud data of the Rosa roxburghii fruit, and then the fruit thorns data were removed by the segmentation algorithm combining the statistical outlier removal and radius outlier removal. By analyzing the effects of five-point cloud simplification methods, the optimal simplification method was determined. The Poisson reconstruction algorithm, the screened Poisson reconstruction algorithm, the greedy projection triangulation algorithm, and the Delaunay triangulation algorithm were utilized to reconstruct the fruit model. The number of model vertices, the number of facets, and the relative volume error were used to determine the best reconstruction algorithm. The results indicated that this model can better reconstruct the actual surface of Rosa roxburghii fruit. The method provides a reference for the related application. |
| format | Article |
| id | doaj-art-3be36608f15f43ddb3550465f6ed00af |
| institution | Kabale University |
| issn | 0146-9428 1745-4557 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Food Quality |
| spelling | doaj-art-3be36608f15f43ddb3550465f6ed00af2025-02-03T01:04:34ZengWileyJournal of Food Quality0146-94281745-45572021-01-01202110.1155/2021/99904999990499Geometric Modeling of Rosa roxburghii Fruit Based on Three-Dimensional Point Cloud ReconstructionZhiping Xie0Yancheng Lang1Luqi Chen2School of Mechanical & Electrical Engineering, Guizhou Normal University, Guizhou, Guiyang 550025, ChinaSchool of Mechanical & Electrical Engineering, Guizhou Normal University, Guizhou, Guiyang 550025, ChinaSchool of Mechanical & Electrical Engineering, Guizhou Normal University, Guizhou, Guiyang 550025, ChinaFruit three-dimensional (3D) model is crucial to estimating its geometrical and mechanical properties and improving the level of fruit mechanical processing. Considering the complex geometrical features and the required model accuracy, this paper proposed a 3D point cloud reconstruction method for the Rosa roxburghii fruit based on a three-dimensional laser scanner, including 3D point cloud generation, point cloud registration, fruit thorns segmentation, and 3D reconstruction. The 3D laser scanner was used to obtain the original 3D point cloud data of the Rosa roxburghii fruit, and then the fruit thorns data were removed by the segmentation algorithm combining the statistical outlier removal and radius outlier removal. By analyzing the effects of five-point cloud simplification methods, the optimal simplification method was determined. The Poisson reconstruction algorithm, the screened Poisson reconstruction algorithm, the greedy projection triangulation algorithm, and the Delaunay triangulation algorithm were utilized to reconstruct the fruit model. The number of model vertices, the number of facets, and the relative volume error were used to determine the best reconstruction algorithm. The results indicated that this model can better reconstruct the actual surface of Rosa roxburghii fruit. The method provides a reference for the related application.http://dx.doi.org/10.1155/2021/9990499 |
| spellingShingle | Zhiping Xie Yancheng Lang Luqi Chen Geometric Modeling of Rosa roxburghii Fruit Based on Three-Dimensional Point Cloud Reconstruction Journal of Food Quality |
| title | Geometric Modeling of Rosa roxburghii Fruit Based on Three-Dimensional Point Cloud Reconstruction |
| title_full | Geometric Modeling of Rosa roxburghii Fruit Based on Three-Dimensional Point Cloud Reconstruction |
| title_fullStr | Geometric Modeling of Rosa roxburghii Fruit Based on Three-Dimensional Point Cloud Reconstruction |
| title_full_unstemmed | Geometric Modeling of Rosa roxburghii Fruit Based on Three-Dimensional Point Cloud Reconstruction |
| title_short | Geometric Modeling of Rosa roxburghii Fruit Based on Three-Dimensional Point Cloud Reconstruction |
| title_sort | geometric modeling of rosa roxburghii fruit based on three dimensional point cloud reconstruction |
| url | http://dx.doi.org/10.1155/2021/9990499 |
| work_keys_str_mv | AT zhipingxie geometricmodelingofrosaroxburghiifruitbasedonthreedimensionalpointcloudreconstruction AT yanchenglang geometricmodelingofrosaroxburghiifruitbasedonthreedimensionalpointcloudreconstruction AT luqichen geometricmodelingofrosaroxburghiifruitbasedonthreedimensionalpointcloudreconstruction |