Automatic extraction of building features for building façades based on laser scanning technology
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Abstract
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.
Description
Keywords
Journal Title
Proceedings of the 2024 European Conference on Computing in Construction
Conference Name
2024 European Conference on Computing in Construction
Journal ISSN
2684-1150
2684-1150
2684-1150
Volume Title
Publisher
European Council on Computing in Construction
Publisher DOI
Rights and licensing
Except where otherwised noted, this item's license is described as Attribution 4.0 International
Sponsorship
EPSRC (via University of Birmingham) (2108169)

