2.5D Dual Contouring: A Robust Approach to Creating Building Models from Aerial LiDAR Point Clouds

被引:0
|
作者
Zhou, Qian-Yi [1 ]
Neumann, Ulrich [1 ]
机构
[1] Univ So Calif, Los Angeles, CA 90089 USA
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a robust approach to creating 2.5D building models from aerial LiDAR point clouds. The method is guaranteed to produce crack-free models composed of complex roofs and vertical walls connecting them. By extending classic dual contouring into a 2.5D method, we achieve a simultaneous optimization over the three dimensional surfaces and the two dimensional boundaries of roof layers. Thus, our method can generate building models with arbitrarily shaped roofs while keeping the verticality of connecting walls. An adaptive grid is introduced to simplify model geometry in an accurate manner. Sharp features are detected and preserved by a novel and efficient algorithm.
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页码:115 / 128
页数:14
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