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3D Point Cloud Semantic Modelling: Integrated Framework for Indoor Spaces and Furniture

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Academic year: 2021

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Figure

Figure 1. Global workflow for modelling indoor point cloud data. Our approach takes as an input a  semantically rich point cloud (A) and uses knowledge-based processes (B–D) to extract a hybrid 3D  model
Figure 3. The Smart Point Cloud [29] tailored Infrastructure for 3D modelling.
Figure 4. Class hierarchy in the ACO.
Figure 7. Each AE from (a–e) is projected in a voxelized space, studied against voxel count per unit  over  , ,   to extract extrema and find patterns that define each Sub-Element in the ACO
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