基于变形网格法的高密点云曲面重建

Surface Reconstruction from High-density Point Cloud Based on Deformed Meshes

针对散乱点云庞大的特点,为提高其曲面重构效率,提出了一种三维高密散乱点云的曲面重建方法。该法首先构建一均匀网格,再通过拟合网格每个单元格的顶点到所输入点集中最近的点来实现对网格单元格进行变形,然后根据每个单元格中顶点状态模型构建三角片。该方法运行速度快,占用内存少。最后通过实例分析验证了该方法的有效性。

To improve the efficiency of surface reconstruction of scattered points,a method of surface reconstruction from high-density 3D scatter point cloud is proposed.This method first sets a uniform mesh and deforms each cell of the mesh by fitting the vertex of each cell to the nearest of the input points,then constructs triangles according to the pattern of the vertexes＇ state in each cell.It works fast with little memory.A case study is done to demonstrate the feasibility of this method.