Title of article :
Geometric structure simplification of 3D building models
Author/Authors :
Li، نويسنده , , Qingquan and Sun، نويسنده , , Xuan and Yang، نويسنده , , Bisheng and Jiang، نويسنده , , Shaobo، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Abstract :
The complexity of building models directly affects the application efficiencies of 3D urban maps. To address the challenges of building models with various structures, we propose a structural simplification method in this paper. The geometric structures of building models are classified into three categories: embedded structures, compositional structures, and connecting structures, which can be extracted separately through convex/concave analysis. Some specific rules are proposed for the simplification of geometric structures, and the building models are suggested to be simplified progressively. The robustness and efficiency of the method are demonstrated by experiments, and the applications of the Levels of detail of the building models are illustrated.
Keywords :
3D building model , levels of detail , simplification , Structure Recognition
Journal title :
ISPRS Journal of Photogrammetry and Remote Sensing
Journal title :
ISPRS Journal of Photogrammetry and Remote Sensing