结合平面投影与区域生长的点云表面重建

Surface Reconstruction from Point Cloud Combining Plane Projection and Region-growing

为提高点云曲面重建的精度和效率,提出了一种将平面投影与区域生长相结合的散乱点云曲面重建方法。从散乱点云中选取局部点集,对其离散度进行判断,将较平滑的符合离散度要求的点集投影到二维平面并进行三角剖分,将三角剖分后点之间的拓扑连接关系映射回三维空间,实现该部分点云的表面重建,对剩余的散乱点用改进的区域生长法重建表面。实验结果表明,该算法能够重建出结构形态正确、保留物体细节信息的三维模型,降低曲面重建复杂度并提高其精确度。

In order to improve the accuracy and efficiency of point cloud surface reconstruction,a method of scattered point cloud surface reconstruction combining plane projection and region growth was proposed.Select the local point set from the scattered point cloud,judge its dispersion,project the smoother point set which meets the requirements of the dispersion to the two-dimensional plane and triangulate,map the topological connection between the points after triangulation back to the three-dimensional space,realize the surface reconstruction of the partial point cloud,and reconstruct the surface of the remaining scattered points with the improved region growth method.The experimental results show that the algorithm can reconstruct the 3D model with correct structure and shape,retain the details of the object,reduce the complexity of surface reconstruction and improve its accuracy.