• Laser & Optoelectronics Progress
  • Vol. 57, Issue 15, 152802 (2020)
Hongqiang Bai1、2, Yonghua Xia1、2、*, Minglong Yang1、2、**, Zhaoyong Li3, and Lijuan Long1、2
Author Affiliations
  • 1Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China
  • 2Surveying & Mapping Technology and Application Research Center on Plateau Mountains of Yunnan Higher Education, Kunming, Yunnan 650093, China;
  • 3Kunming Urban Underground Space Planning and Management Office, Kunming, Yunnan 650011, China
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    DOI: 10.3788/LOP57.152802 Cite this Article Set citation alerts
    Hongqiang Bai, Yonghua Xia, Minglong Yang, Zhaoyong Li, Lijuan Long. Splicing and Fusion of Triangular Meshes for Complex Surface of Karst Cave[J]. Laser & Optoelectronics Progress, 2020, 57(15): 152802 Copy Citation Text show less
    Flowchart of triangular mesh splicing
    Fig. 1. Flowchart of triangular mesh splicing
    bdf standard format
    Fig. 2. bdf standard format
    bdf format file after conversion
    Fig. 3. bdf format file after conversion
    Detection results of adjacent boundary of triangular mesh. (a) Simple triangular mesh display results; (b) adjacent boundary detection of triangular mesh
    Fig. 4. Detection results of adjacent boundary of triangular mesh. (a) Simple triangular mesh display results; (b) adjacent boundary detection of triangular mesh
    Principle of adjacent boundary splicing. (a) Before splicing; (b) after splicing
    Fig. 5. Principle of adjacent boundary splicing. (a) Before splicing; (b) after splicing
    Connection results generated by triangular mesh. (a) Generated results; (b) spliced results
    Fig. 6. Connection results generated by triangular mesh. (a) Generated results; (b) spliced results
    Comparison before and after point cloud classification. (a) Original point cloud before classification; (b) point cloud after classification
    Fig. 7. Comparison before and after point cloud classification. (a) Original point cloud before classification; (b) point cloud after classification
    Triangular mesh renderings with different resolutions. (a) Before the classification; (b) after the classification
    Fig. 8. Triangular mesh renderings with different resolutions. (a) Before the classification; (b) after the classification
    Comparison of mosaic boundary extraction effect of triangular mesh. (a) Before extracting; (b) after extracting
    Fig. 9. Comparison of mosaic boundary extraction effect of triangular mesh. (a) Before extracting; (b) after extracting
    Contrast diagram of triangular mesh boundary splicing and fusion effect. (a) Before boundary splicing; (b) after boundary splicing
    Fig. 10. Contrast diagram of triangular mesh boundary splicing and fusion effect. (a) Before boundary splicing; (b) after boundary splicing
    Triangular mesh renderings before and after peak smoothing. (a) Before peak smoothing; (b) after peak smoothing
    Fig. 11. Triangular mesh renderings before and after peak smoothing. (a) Before peak smoothing; (b) after peak smoothing
    Comparison between mosaic fusion results after smoothing and original point cloud. (a) Original point cloud; (b) mesh model processed by the method in this paper
    Fig. 12. Comparison between mosaic fusion results after smoothing and original point cloud. (a) Original point cloud; (b) mesh model processed by the method in this paper
    Comparison of splicing results by mesh splicing method and software. (a) Automatic splicing effect of the method in this paper; (b) splicing effect of Geomagic Studio software
    Fig. 13. Comparison of splicing results by mesh splicing method and software. (a) Automatic splicing effect of the method in this paper; (b) splicing effect of Geomagic Studio software
    Hongqiang Bai, Yonghua Xia, Minglong Yang, Zhaoyong Li, Lijuan Long. Splicing and Fusion of Triangular Meshes for Complex Surface of Karst Cave[J]. Laser & Optoelectronics Progress, 2020, 57(15): 152802
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