TY - JOUR
T1 - Shaping polyhedral buildings by the fusion of vector maps and lidar point clouds
AU - Chen, Liang Chien
AU - Teo, Tee-Ann
AU - Kuo, Chih Yi
AU - Rau, Jiann Yeou
PY - 2008/1/1
Y1 - 2008/1/1
N2 - We integrate lidar point clouds and large-scale vector maps to perform building modeling. The proposed scheme comprises three major steps: (a) the preprocessing of lidar point clouds and vector maps, (b) roof analysis, and (c) building reconstruction. During the preprocessing stage, the building polygons are first obtained from the polylines, followed by the selections of lidar points in the building polygons. An irregular triangulated network is then built to represent the facets. The segmentation of planar facets for roof analysis is implemented by examining the patch size and the facet orientation. The interior 3D roof edges are then determined from the intersection of the roof planes. Finally, the building models are reconstructed through regularization. Two sample sites are tested for the purposes of validation. The experimental results indicate that the proposed scheme allows for high fidelity and accuracy, provided that the point cloud density is enough.
AB - We integrate lidar point clouds and large-scale vector maps to perform building modeling. The proposed scheme comprises three major steps: (a) the preprocessing of lidar point clouds and vector maps, (b) roof analysis, and (c) building reconstruction. During the preprocessing stage, the building polygons are first obtained from the polylines, followed by the selections of lidar points in the building polygons. An irregular triangulated network is then built to represent the facets. The segmentation of planar facets for roof analysis is implemented by examining the patch size and the facet orientation. The interior 3D roof edges are then determined from the intersection of the roof planes. Finally, the building models are reconstructed through regularization. Two sample sites are tested for the purposes of validation. The experimental results indicate that the proposed scheme allows for high fidelity and accuracy, provided that the point cloud density is enough.
UR - http://www.scopus.com/inward/record.url?scp=51849093632&partnerID=8YFLogxK
U2 - 10.14358/PERS.74.9.1147
DO - 10.14358/PERS.74.9.1147
M3 - Article
AN - SCOPUS:51849093632
VL - 74
SP - 1147
EP - 1157
JO - Photogrammetric Engineering and Remote Sensing
JF - Photogrammetric Engineering and Remote Sensing
SN - 0099-1112
IS - 9
ER -