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Automatic extraction of building features for building façades based on laser scanning technology
Feature extraction on façades from unstructured point clouds is a challenging work, especially in the presence of noise. Previous studies in reconstructing the building façade are limited to traditional urban buildings. However, facade with a big proportion of windows, like curtain wall, are less explored. This research aims to propose an automatic approach to extract building features of a facade with a big proportion of windows, such as curtain wall. This approach includes automated detection of the facades, openings detection and geometry information extraction. A real case is used for testing the framework and validating the effectiveness of the approach.
Automatic extraction of building features for building façades based on laser scanning technology
Feature extraction on façades from unstructured point clouds is a challenging work, especially in the presence of noise. Previous studies in reconstructing the building façade are limited to traditional urban buildings. However, facade with a big proportion of windows, like curtain wall, are less explored. This research aims to propose an automatic approach to extract building features of a facade with a big proportion of windows, such as curtain wall. This approach includes automated detection of the facades, openings detection and geometry information extraction. A real case is used for testing the framework and validating the effectiveness of the approach.
Automatic extraction of building features for building façades based on laser scanning technology
Wang, Mudan (author) / Wen, Ya (author) / Pan, Yuandong (author) / Alavi, Hamidreza (author) / Kookalani, Soheila (author) / Chen, Weiwei (author) / Brilakis, Ioannis (author)
2024-07-17
Conference paper
Electronic Resource
English
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