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Proceedings Paper

An automatic segmentation method for building facades from vehicle-borne LiDAR point cloud data based on fundamental geographical data
Author(s): Yongqiang Li; Jie Mao; Lailiang Cai; Xitong Zhang; Lixue Li
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Paper Abstract

In this paper, the author proposed a segmentation method based on the fundamental geographic data, the algorithm describes as following: Firstly, convert the coordinate system of fundamental geographic data to that of vehicle- borne LiDAR point cloud though some data preprocessing work, and realize the coordinate system between them; Secondly, simplify the feature of fundamental geographic data, extract effective contour information of the buildings, then set a suitable buffer threshold value for building contour, and segment out point cloud data of building facades automatically; Thirdly, take a reasonable quality assessment mechanism, check and evaluate of the segmentation results, control the quality of segmentation result. Experiment shows that the proposed method is simple and effective. The method also has reference value for the automatic segmentation for surface features of other types of point cloud.

Paper Details

Date Published: 2 March 2016
PDF: 6 pages
Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 990102 (2 March 2016); doi: 10.1117/12.2234691
Show Author Affiliations
Yongqiang Li, Henan Polytechnic Univ. (China)
Jie Mao, Henan Polytechnic Univ. (China)
Lailiang Cai, Henan Polytechnic Univ. (China)
Xitong Zhang, Henan Polytechnic Univ. (China)
Lixue Li, Henan Polytechnic Univ. (China)

Published in SPIE Proceedings Vol. 9901:
2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015)
Cheng Wang; Rongrong Ji; Chenglu Wen, Editor(s)

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