Acta Optica Sinica, Volume. 41, Issue 23, 2312003(2021)
Volume Measurement of Irregular Objects Based on Improved Point Cloud Slicing Method
Fig. 1. Main processes of volume measurement based on improved point cloud slicing method
Fig. 2. Point cloud data acquisition of spatial objects. (a) Multi-view point cloud data; (b) point cloud model
Fig. 3. Diagram of point cloud data slicing. (a) Side view of Stanford Bunny and some slicing positions on it; (b) contour boundary points in slicing layers
Fig. 4. Diagram of segmentation based on euclidean clustering (z=-7.52 mm). (a) Contour boundary points and initial polygon in slicing layers; (b) classification results; (c) generation of contour polygons after classification; (d) side length frequency distribution histogram of this polygon; (e) a partial enlarged drawing of Fig. (d)
Fig. 5. Schematic diagram of some points (like point 5) being missed during the two-way nearest point search
Fig. 6. Diagram of polygon splitting and recombination method. (a) Split into multiple polylines; (b)recombination into individual contour boundary polygons
Fig. 7. Analysis of inclusion relationships between multi-contour boundary polygons in cross-section. (a) Position information of boundary polygons; (b) tree structure; (c) chain table; (d) cross-section region (shaded part)
Fig. 8. Test data. (a) Three-dimensional surface model of Stanford Bunny; (b)(c) physical objects, point cloud data, and surface models of Happy Buddha, and Lucy
Fig. 9. Comparison and analysis of multi-contour boundary segmentation results of different slicing positions (along z-axis) of Stanford Bunny. (a) Sorting results of the two-way nearest points search; (b) results of the SEC method; (c) results of the PSR method
Fig. 10. Comparison and analysis of multi-contour boundary segmentation results of different slicing positions (alonge y-axis) of Happy Buddha. (a) Sorting results of the two-way nearest points search; (b) results of the SEC method; (c) results of the PSR method
Fig. 11. Comparison and analysis of multi-contour boundary segmentation results of different slicing positions (along z-axis) of Lucy. (a) Sorting results of the two-way nearest points search; (b) results of the SEC method; (c) results of the PSR method
Fig. 12. Comparison and analysis of cross-sectional area results of different slicing layers at Stanford Bunny. (a) Area of each boundary polygon; (b) accuracy of cross-sectional area results
Fig. 13. Comparison and analysis of the cross-sectional area results of different slicing layers at Happy Buddha and Lucy. (a)(c) Area of each boundary polygon; (b)(d) accuracy of cross-sectional area results
Fig. 14. Comparison and analysis of volume measurement results of three datasets with different slicing intervals. (a)(c)(e) Accuracy of volume results; (b)(d)(f) calculation time
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Jinjin Liu, Haojun Li. Volume Measurement of Irregular Objects Based on Improved Point Cloud Slicing Method[J]. Acta Optica Sinica, 2021, 41(23): 2312003
Category: Instrumentation, Measurement and Metrology
Received: May. 14, 2021
Accepted: Jun. 17, 2021
Published Online: Dec. 10, 2021
The Author Email: Liu Jinjin (jinjin_liu@tongji.edu.cn), Li Haojun (lhjch@tongji.edu.cn)