From PC2BIM: Automatic Model generation from Indoor Point Cloud

被引:6
|
作者
Kwadjo, Danielle Tchuinkou [1 ]
Tchinda, Erman Nghonda [1 ]
Bobda, Christophe [1 ]
Menadjou, Nareph [2 ]
Fotsing, Cedrique [2 ]
Nziengam, Nafissetou [2 ,3 ]
机构
[1] Univ Florida, Gainesville, FL 32611 USA
[2] Camertronix, Yaounde, Cameroon
[3] Brandenburg Tech Univ Cottbus, Cottbus, Germany
基金
美国国家科学基金会;
关键词
Point Cloud; BIM; RANSAC; Undirected graph; RECONSTRUCTION;
D O I
10.1145/3349801.3349825
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we present a system to automatically generate BIMs1 model from indoor point cloud. In contrary to previous works, our approach is able to take as input a point cloud with the minimum of information namely the points of coordinates (x, y, z) and produce excellent results. We first detect major flat surfaces such a walls, floor, and ceiling which are the bedrocks of our structure. Then, we present a novel 2D matrix template representation of walls which ease the operations like room layout and openings detection in polynomial time. Finally, we generate the BIM model rich with spatial and semantic information about the physical structures. A series of experiments performed show the efficiency and the precision of our approach.
引用
收藏
页数:6
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