Research on extraction algorithm of building outline based on point cloud

Jing Li; Shuangxian Li; Decheng Zhu; Yuxuan Wang

doi:10.1117/12.2634543

12 May 2022 Research on extraction algorithm of building outline based on point cloud

Jing Li, Shuangxian Li, Decheng Zhu, Yuxuan Wang

Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 121731R (2022) https://doi.org/10.1117/12.2634543
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China

Abstract

As an important element of a smart city, building outlines are widely used in the fields of urban space analysis, building classification statistics and digital city modeling. Ground laser scanning captures three-dimensional point clouds with high flexibility and high precision, and provides important data support for extracting building outlines. The traditional method of extracting building contour is easily interfered by other factors, which leads to the problem of jagged contour extraction and low extraction accuracy. The variable radius A-shapes building point cloud contour extraction method based on the least squares proposed in this paper combines the advantages of least squares straight line fitting and rolling circle detection to optimize the key contour points, which can effectively remove the jagged contour lines. It has high extraction accuracy and good robustness. The experimental results show that, compared with the Variable radius Alpha Shapes (VA-Shapes) algorithm, the building outline extracted by the method in this paper is clear and complete, and the extraction effect of the building outline with more corner features is better. The accuracy of the obtained roof contour line is higher.

Citation Download Citation

Jing Li, Shuangxian Li, Decheng Zhu, and Yuxuan Wang "Research on extraction algorithm of building outline based on point cloud", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 121731R (12 May 2022); https://doi.org/10.1117/12.2634543

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KEYWORDS

Clouds

Feature extraction

3D scanning

3D modeling

Laser scanners

Error analysis

Statistical modeling

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