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Towards the automatic 3D parametrization of non-planar surfaces from point clouds in HBIM applications

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Academic year: 2020

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Figure 1: Overview of the proposed method. From left to right. Preprocessing; Segmentation; Classifying; Parametrization The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-2/W15, 2019
Table 2: Parameters selection and time consumption for each modelling step
Figure 4: a) Segmentation; b) Unsegmented; c) Projection of  the extracted revolution points; d) Polygonal profile
Table 3: Synthetic point cloud. Percentage of inliers adjusted for each model, mean distance (µ) and standard deviation (σ)

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