国土资源遥感2016，Vol.28Issue(4)：35-42,8.DOI:10.6046/gtzyyg.2016.04.06
LiDAR三维重建中基于CSG方法的扩展研究
Expanding research on CSG in 3 D reconstruction from LiDAR
摘要
Abstract
To tackling such problems as primitive decomposition, primitive recognition, model integration in 3D model reconstruction with LiDAR data by using the CSG method, this paper proposes an expanding method for CSG. In this method, the clustering property of building contours is used for layers partition and primitives decomposition, then the styles of the primitives is recognized by combining the features of contours clusters and the contour reconstruction results. In this way, the process of primitives automatic recognition in CSG method is achieved. According to the primitive recognition result, the corresponding reconstruction method for the segmentation is selected, and the whole 3D model for complex building is automatically reconstructed by integrating the segmentation models based on a set of effective model integration rules at last. Experiment results of a wide range LiDAR data show that the proposed expanding CSG method is effective in the 3 D reconstruction of complex buildings with LiDAR data.关键词
LiDAR/三维重建/CSG/基元分解/基元识别/等高线族/轮廓重建Key words
LiDAR/3 D reconstruction/CSG/primitive decomposition/primitive recognition/contour cluster/contour reconstruction分类
计算机与自动化引用本文复制引用
査达剑,李乐林,江万寿,韩用顺..LiDAR三维重建中基于CSG方法的扩展研究[J].国土资源遥感,2016,28(4):35-42,8.基金项目
国家自然科学基金项目“山地城市环境下等高线辅助的机载 LiDAR 点云复杂建筑物三维模型重建方法研究”(编号:41401497)和湖南省科技计划项目“云计算环境下基于机载 LiDAR 数据快速获取高精度 DEM 的应用研究”(编号:2015GK3027)共同资助。 （编号:41401497）
