Expanding research on CSG in 3D reconstruction from LiDAR
ZHA Dajian1, LI Lelin1, JIANG Wangshou2, HAN Yongshun1
1. National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China;
2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
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 3D reconstruction of complex buildings with LiDAR data.
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.
ZHA Dajian, LI Lelin, JIANG Wangshou, HAN Yongshun. Expanding research on CSG in 3D reconstruction from LiDAR. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 35-42.
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2016, Vol. 28 
