Title :
Simple building reconstruction from LIDAR point cloud
Author :
Zeng, Qihong ; Lai, Jiazhen ; Li, Xianhua ; Mao, Jianhua ; Liu, Xuefeng
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai
Abstract :
This paper presents a method for simple regular building reconstruction from LIDAR point cloud. At First, TIN model of the extracted building point from discrete LIDAR point cloud is built. Those points in triangle facet which having the similar normal vector value are clustered into the same plane point set. Then, every plane point set is fitted into plane using the least square method which boundary is decided by convex hull theory. The boundary of building top plane can be optimized based on regular building principle. From the optimized building top boundary and the height of ground, we can calculate the 3D coordinate of every corner point on building. The building model can be constructed based on 3D coordinates of these corner points. The experimental result shows that this method is able to construct effectively simple regular building.
Keywords :
feature extraction; image reconstruction; least squares approximations; object detection; optical radar; terrain mapping; 3D coordinate; TIN model; building point extraction; building reconstruction; building top plane boundary; convex hull theory; discrete LIDAR point cloud; least square method; triangle facet; Buildings; Cities and towns; Clouds; Data mining; Image reconstruction; Laser radar; Least squares methods; Satellites; Surface reconstruction; Tin;
Conference_Titel :
Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1723-0
Electronic_ISBN :
978-1-4244-1724-7
DOI :
10.1109/ICALIP.2008.4590062