• Opto-Electronic Engineering
  • Vol. 46, Issue 2, 180269 (2019)
Lan Jianxia*, Wang Zeyong, Li Jinlong, Huang Qian, and Gao Xiaorong
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.12086/oee.2019.180269 Cite this Article
    Lan Jianxia, Wang Zeyong, Li Jinlong, Huang Qian, Gao Xiaorong. Simplification of locomotive running gear three-dimensional point cloud based on non-uniform division[J]. Opto-Electronic Engineering, 2019, 46(2): 180269 Copy Citation Text show less
    References

    [1] Pendry J B. Negative refraction makes a perfect lens[J]. Phys-ical Review Letters, 2000, 85(18): 3966–3969.

    [3] Yamamoto S. Development of inspection robot for nuclear power plant[C]//Proceedings of the 1992 IEEE International Conference on Robotics and Automation, Nice, France, 1992, 2: 1559–1566.

    [4] Wang G H, Hu Z Y,Wu F C, et al. Implementation and experi-mental study on fast object modeling based on multiple struc-tured stripes[J]. Optics and Lasers in Engineering, 2004, 42(6): 627–638.

    [7] Maglo A, Courbet C, Alliez P, et al. Progressive compression of manifold polygon meshes[J]. Computers & Graphics, 2012, 36(5): 349–359.

    [8] Luebke D P. A developer’s survey of polygonal simpli.cation algorithms[J]. IEEE Computer Graphics and Applications, 2001, 21(3): 24–35.

    [9] Cignoni P, Montani C, Scopigno R, et al. A comparison of mesh simpli.cation algorithms[J]. Computers & Graphics, 1998, 22(1): 37–54.

    [10] Han H Y, Han X, Sun F S, et al. Point cloud simplification with preserved edge based on normal vector[J]. Optik -International Journal for Light and Electron Optics, 2015, 126(19): 2157–2162.

    [11] Yu Z W, Wong H S, Peng H, et al. ASM: An adaptive simplifica-tion method for 3D point-based models[J]. Computer-Aided Design, 2010, 42(7): 598–612.

    [12] Weir D J, Milroy M J, Bradley C, et al. Reverse engineering physical models employing wrap‐around B‐spline surfaces and quadrics[J]. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 1996, 210(22): 147–157.

    [13] Martin R, Stroud I, Marshall A D. Data reduction for reverse engineering[J]. RECCAD, Deliverable Document 1 COPER-NICUS Project, 1997, 1068: 85–100.

    [14] The International Journal of Advanced Manufacturing Tech-nology, 2001, 18(3): 201–210.

         Lee K H, Woo H, Suk T. Point data reduction using 3D grids[J].

    [15] Shi B Q, Liang J, Liu Q. Adaptive simplification of point cloud using k-means clustering[J]. Computer-Aided Design, 2011, 43(8): 910–922.

    [17] Zhong Y. Intrinsic shape signatures: A shape descriptor for 3D object recognition[C]//Proceedings of the 2009 IEEE Interna-tional Conference on Computer Vision Workshops, 2009: 689–696.

    [19] Hoppe H, Derose T, Duchamp T, et al. Surface reconstruction from unorganized points[J]. ACM SIGGRAPH Computer Graphics, 1992, 26(2): 71–78.

    [20] Wang Y H, Hao W, Ning X J, et al. Automatic segmentation of urban point clouds based on the Gaussian map[J]. The Photo-grammetric Record, 2013, 28(144): 342–361.

    Lan Jianxia, Wang Zeyong, Li Jinlong, Huang Qian, Gao Xiaorong. Simplification of locomotive running gear three-dimensional point cloud based on non-uniform division[J]. Opto-Electronic Engineering, 2019, 46(2): 180269
    Download Citation