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基于点云数据三维重建方法的研究
引用本文:纪志浩,;于明旭.基于点云数据三维重建方法的研究[J].黑龙江工程学院学报,2014(3):7-9.
作者姓名:纪志浩  ;于明旭
作者单位:[1]徐州市三联测绘服务有限公司,江苏徐州221116; [2]江苏建筑职业技术学院,江苏徐州221116
摘    要:由于三维激光扫描仪采集的点云数据是离散的,这些离散的点云数据由于分辨率有限,缺少灵活性,导致无法满足对实际场景重建出具有几何精确性的模型。为解决上述问题,用Delaunay三角化方法构造网格逼近物体的i维表面模型,把离散的点云数据连续化生成表面模型来模拟场景,实验证明该方法有效。

关 键 词:点云数据  Delaunay三角化  Voronoi图  曲面模型  三维重建

Research on 3D reconstruction method based on point cloud
Affiliation:JI Zhi-hao, YU Ming-xu(1. Xuzhou Sanlian Mapping Co. Ltd. ,Xuzhou 221116, China; 2. Jiangsu Vocational College of Architecture,Xuzhou 221116, China)
Abstract:The 3D laser scanning point cloud data is discrete because of the limited resolution and lack of flexibility which lead to be unable to satisfy with the geometric accuracy of the model to the actual scene reconstruction. In order to solve the above problems, the 3D surface model uses Delaunay Triangulation method to construct the grid approximation of an object and the point cloud data of discrete continuous generation of surface model to simulate the scene. The experiments show it is an effective and feasible method to reconstruct the fossil modeling.
Keywords:point cloud  Delaunay triangulation  Voronoi diagram  surface model  three dimensional reconstruction
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