文章摘要
李 振, 张 敏, 黎 力.利用GPU加速的海量点云高效绘制Journal of Water Resources and Water Engineering[J].,2013,24(6):16-19
利用GPU加速的海量点云高效绘制
Efficient drawing of massive point cloud accelerated by GPU
  
DOI:10.11705/j.issn.1672-643X.2013.06.004
中文关键词: 点云  GPU  八叉树  SPT  水利工程
英文关键词: point cloud  GPU  Octree  SPT  hydraulic engineering
基金项目:国家自然科学基金青年基金项目(41201484); 精密工程与工业测量国家测绘地理信息局重点实验室开放基金(PF2011-21)
Author NameAffiliation
LI Zhen1, ZHANG Min2, LI Li3 (1.扬州大学 水利与能源动力工程学院 江苏 扬州 225127 2.武汉大学 遥感信息工程学院湖北 武汉 430079 3.重庆市国土资源和房屋勘测规划院, 重庆 400020) 
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中文摘要:
      针对地面三维激光雷达点云的特点,结合其在水工建筑三维建模、水利工程安全监测、边坡监测等水利工程应用中的共性问题,提出一种利用GPU加速的海量点云绘制算法。与基于Z-Buffer的点云绘制算法相比,提出的绘制算法适用于10GB级的点云绘制,绘制帧速最高增幅达到40%。
英文摘要:
      Aimed at the feature of radar point cloud of 3D laser on land, combined with the general problem in application of water conservancy such as 3D modeling of hydraulic building, hydraulic safety and slope Monitoring etc, the paper proposed an efficient drawing algorithm of massive point cloud accelerated by GPU. The experiment proved that the algorithm can largely improve the drawing efficiency of massive point cloud ,handle 10GB point cloud and the largest increase value of drawing rate of the algorithm can reach as high as 40% compared with Z-Buffer algorithm.
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