西安工程大学学报2019，Vol.33Issue(1)：63-68,6.DOI:10.13338/j.issn.1674-649x.2019.01.011
一种散乱点云的精准重建方法
An accurate reconstruction method of scattered point clouds
摘要
Abstract
The redundancy, noise and hole in the acquisition of point cloud data will affect the rapid and high-quality reconstruction. To solve this problem, a new point cloud reconstruction method is proposed. Firstly, the point cloud data was simplified by VoxelGrid, and then the improved minimum moving squares were used to make point cloud become smooth. Finally a multilateral local projection triangulation was used to rapidly reconstruct the point cloud. The experimental results show that this method can repair local holes in point cloud and obtain a smooth manifold, so that the reconstruction result is closer to the reality and finally gets the high-quality reconstruction of point cloud data.关键词
体素栅格/移动最小二乘/散乱点云/点云数据Key words
VoxelGrid/moving least squares/scattered point cloud/point cloud data分类
信息技术与安全科学引用本文复制引用
刘阳阳,李仁忠,刘哲闻,张缓缓..一种散乱点云的精准重建方法[J].西安工程大学学报,2019,33(1):63-68,6.基金项目
国家自然科学基金青年科学基金项目(61803292) （61803292）
中国纺织工业联合会科技指导性项目(2017071) （2017071）
