点云
激光扫描
计算机科学
三维重建
光学(聚焦)
云计算
点(几何)
实体造型
曲面重建
螺旋(铁路)
计算机视觉
三维建模
迭代重建
算法
人工智能
计算机图形学(图像)
激光器
数学
几何学
曲面(拓扑)
光学
物理
数学分析
操作系统
作者
Kai Chen,Kun Zhan,Xiao Cong Yang,Da Zhang
摘要
3D reconstruction of point cloud data is the research focus at present, but there isn’t a universal 3D reconstruction method for point cloud data which is scattered topology structure. At the same time, 3D reconstruction method of point cloud data also exist many problem, such as: 3D modeling efficiency is low, 3D reconstruction model exist holes, 3D model isn’t quite true. To solve these problems in 3D reconstruction of point cloud data, this paper provides a 3D reconstruction method for laser spiral scanning point cloud, the 3D reconstruction method which has high efficiency, true model and retains model details can solve the problem of 3D reconstruction .To verify the effectiveness of algorithm, this paper choose a set of spiral point cloud which will be sorted and optimized, finally these point cloud data have been transferred into 3D expected solid model which will provide a good basic for future usage of point cloud data.
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