激光与光电子学进展, 2015, 52 (6): 061001, 网络出版: 2015-05-29
考虑局部点云密度的建筑立面自适应分割方法
Study on Segmentation of Building Facade Considering Local Point Cloud Density
图像处理 点云 局部点云密度 KD 树 点云分割 image processing point cloud local point density KD tree point cloud segmentation
摘要
三维散乱点云数据具有不均匀性,局部点云密度的不断变化会对点云分割提取等处理造成影响,针对这一问题,提出考虑局部点云密度的建筑立面自适应分割方法,在介绍局部点云密度的基础上,设计了自适应分割的流程和算法,通过实验验证了考虑局部点云密度的方法能够较好的对建筑立面进行分割。
Abstract
Because of the uniformity of three-dimensional scattered point cloud, the varying of local point cloud density affects the point cloud segmentation. To solve the problem, a method considering local point cloud density for automated segmentation of building facades from point clouds is presented. Based on the introduction of local point cloud density, self-adaptive segmentation processes and algorithms are designed. Results of contrast experiments show that the proposed method is better than that without considering the local point cloud density.
王果, 沙从术, 王健. 考虑局部点云密度的建筑立面自适应分割方法[J]. 激光与光电子学进展, 2015, 52(6): 061001. Wang Guo, Sha Congshu, Wang Jian. Study on Segmentation of Building Facade Considering Local Point Cloud Density[J]. Laser & Optoelectronics Progress, 2015, 52(6): 061001.