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- W4384408214 abstract "Digitising the geometry of existing buildings remains expensive due to the high amount of manual work necessary to process raw data. This indicates the demand for automatic solutions for geometry digitisation. This paper presents a few methods to detect and model structural objects and relations between objects and surfaces in large-scale occluded point clouds. We show that these methods give promising results and manage to capture the majority of the target entities." @default.
- W4384408214 created "2023-07-16" @default.
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- W4384408214 date "2023-07-10" @default.
- W4384408214 modified "2023-09-30" @default.
- W4384408214 title "Automatic construction of geometric digital twins of existing buildings from point cloud datasets" @default.
- W4384408214 doi "https://doi.org/10.35490/ec3.2023.343" @default.
- W4384408214 hasPublicationYear "2023" @default.
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