Shaping polyhedral buildings by the fusion of vector maps and lidar point clouds

Liang Chien Chen*, Tee-Ann Teo, Chih Yi Kuo, Jiann Yeou Rau

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1147-1157
Number of pages11
JournalPhotogrammetric Engineering and Remote Sensing
Volume74
Issue number9
DOIs
StatePublished - 1 Jan 2008

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