基于非均匀划分的机车走行部三维点云精简
兰渐霞, 王泽勇, 李金龙, 黄潜, 高晓蓉. 基于非均匀划分的机车走行部三维点云精简[J]. 光电工程, 2019, 46(2): 180269.
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.
[1] Pendry J B. Negative refraction makes a perfect lens[J]. Phys-ical Review Letters, 2000, 85(18): 3966–3969.
[2] Zhang Z L, Zhu J G, Zhou H. Guidance tracking method of a new automatic laser theodolite system[J]. Opto-electronic En-gineering, 2010, 37(4): 1–7. 张滋黎, 邾继贵, 周虎, 等. 一种新型自动激光经纬仪引导跟踪方法[J].光电工程, 2010, 37(4): 1–7.
[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.
[5] Long X, Zhong Y X, Li R J, et al. 3-D surface integration in structured light 3-D scanning[J]. Journal of Tsinghua University (Science and Technology), 2002, 42(4): 477–480. 龙玺, 钟约先, 李仁举, 等. 结构光三维扫描测量的三维拼接技术[J].清华大学学报(自然科学版), 2002, 42(4): 477–480.
[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.
[16] Yuan X C, Wu L S, Chen H W. Feature preserving point cloud simplification[J]. Optics and Precision Engineering, 2015, 23(9): 2666–2676. 袁小翠, 吴禄慎, 陈华伟. 特征保持点云数据精简 [J].光学精密工程, 2015, 23(9): 2666–2676.
[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.
兰渐霞, 王泽勇, 李金龙, 黄潜, 高晓蓉. 基于非均匀划分的机车走行部三维点云精简[J]. 光电工程, 2019, 46(2): 180269. 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.
PDF全文
