Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 175-178.doi: 10.11896/j.issn.1002-137X.2016.6A.041
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XU Xu-dong and LI Ze
[1] 李春鑫,彭认灿.基于三维Delaunay三角化的快速可视化方法[J].计算机科学,2015,2(6A):236-237,248 [2] 程效军,贾东峰,程小龙.海量点云数据处理理论与技术[M].上海:同济大学出版社,2014:13 [3] 邱春丽,许宏丽.一种散乱点云空间直接剖分算法[J].计算机科学,2014,1(2):157-160 [4] 游安清,韩晓言,李世平,等.激光点云中输电线拟合与杆塔定位方法研究[J].计算机科学,2013,40(4):298-300 [5] 廖丽琼,白俊松,罗德安.基于八叉树及KD树的混合点云数据存储结构[J].计算机系统应用,2012,21(3):88 [6] 徐鹏.海量三维点云数据的组织与可视化研究[D].南京:南京师范大学,2013 [7] 姚定忠.海量地形点云可视化与处理系统的研究[D].广州:华南理工大学,2013 [8] 王儒,胡萍,蒋俊豪.基于KD树的点云索引技术研究[J].科技视界,2015(30):111 [9] 缪君,储珺,张桂梅,等.基于稀疏点云的多平面场景稠密重建[J].自动化学报,2015,41(4):813-822 [10] Elseberg J,Borrmann D,Nüchter A.One billion points in the cloud-an octree for efficient processing of 3D laser scans[J].ISPRS Journal of Photogrammetry and Remote Sensing,2013,76:76-88 [11] Goswami P,Erol F,Mukhi R,et al.An efficient multi-resolution framework for high quality interactive rendering of massive point clouds using multi-way kd-trees[J].The Visual Compu-ter,2012,29(1):69-83 [12] van Oosteroma P,Martinez-Rubib O,Ivanova M,et al.Massive point cloud data management:Design,implementation and execution of a point cloud benchmark [J].Computers & Graphics,2015,9:92-125 |
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