The article focuses on the use of automated processes of classification and reconstruction for the digitation and the management of the built heritage, including both valuable and conventional buildings. It summarizes a research path followed in the last years, concerning new Cloud to BIM approaches for the recognition and the reconstruction of complex objects and shapes, both from images and point clouds. Some case studies will be presented, detailing specific innovative approaches involving visual scripting and programming, highlighting strong and weak points throughout all these experiences. Finally, future research perspectives will be outlined, in relation to the exploration of the potential of automated classification through Artificial Intelligence algorithms.
Toward the automation of digitization. BIM experiences of management, classification and reconstruction of building and architectural components / D'Agostino, Pierpaolo; Antuono, Giuseppe. - 4:(2022), pp. 47-59.
Toward the automation of digitization. BIM experiences of management, classification and reconstruction of building and architectural components
Pierpaolo D'Agostino
;Giuseppe Antuono
2022
Abstract
The article focuses on the use of automated processes of classification and reconstruction for the digitation and the management of the built heritage, including both valuable and conventional buildings. It summarizes a research path followed in the last years, concerning new Cloud to BIM approaches for the recognition and the reconstruction of complex objects and shapes, both from images and point clouds. Some case studies will be presented, detailing specific innovative approaches involving visual scripting and programming, highlighting strong and weak points throughout all these experiences. Finally, future research perspectives will be outlined, in relation to the exploration of the potential of automated classification through Artificial Intelligence algorithms.File | Dimensione | Formato | |
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