2 March 2016 An automatic segmentation method for building facades from vehicle-borne LiDAR point cloud data based on fundamental geographical data
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Proceedings Volume 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015); 990102 (2016) https://doi.org/10.1117/12.2234691
Event: 2015 ISPRS International Conference on Computer Vision in Remote Sensing, 2015, Xiamen, China
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.
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Yongqiang Li, Yongqiang Li, Jie Mao, Jie Mao, Lailiang Cai, Lailiang Cai, Xitong Zhang, Xitong Zhang, Lixue Li, Lixue Li, } "An automatic segmentation method for building facades from vehicle-borne LiDAR point cloud data based on fundamental geographical data", Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 990102 (2 March 2016); doi: 10.1117/12.2234691; https://doi.org/10.1117/12.2234691
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