30 October 2009 Extracting geometry information from point cloud of urban building
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Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 749838 (2009) https://doi.org/10.1117/12.832339
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
The main purpose of the algorithm in this paper is to extract geometry information (mainly includes the plane function, the outlines and the corners of the building surfaces) from the point cloud. The main process includes: filter and sort the point cloud, get fitting lines in each column and merge the fitting lines, get fitting faces from the fitting lines and merge the fitting faces, extract the outlines and corners of the merged faces. The advantage of the algorithm includes: A face's adjacent faces can be got, the disturbing points can be automatically removed and the computation amount is relatively small. The algorithm is particularly suit for the point cloud got by vehicle-borne laser scan.
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Changqiang Yang, Changqiang Yang, Zetian Ye, Zetian Ye, } "Extracting geometry information from point cloud of urban building", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749838 (30 October 2009); doi: 10.1117/12.832339; https://doi.org/10.1117/12.832339
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