基于径向基函数的残缺点云数据修复

Filling Holes in Point Cloud with Radial Basis Function

摘要: 提出一种具有较强鲁棒性的残缺点云数据修复算法,借助kD tree寻找点云的缺陷边界,确定点云的缺陷区域;然后利用二次曲面的特性参数化边界点列;最后,通过径向基函数表示的插值曲面计算位于残缺区域内部的数据点,实现残缺点云数据的修复.

Abstract: k dimension tree is constructed to trace the boundary points of each hole in point cloud,which are refined and parameterized with a nor malized quadric surface.RBF surface is defined to interpolate the boundary points and generate unifor mly distributed point mesh in the hole,RBF surface is so mehow superior to B-spline surface in its shape-preversing and s mooth blending ability.