The creation of Cultural Heritage (CH) Digital Twins is based on i) the capture of geometric data using digital technologies (laser scanning and photogrammetry); ii) the processing of the raw data to identify, segment and label the objects; and iii) their conversion into BIM objects. Hitherto, the most extensive method for BIM seg-mentation and modelling is manual, which led to research into the automation of this process, also in the field of CH. Manual operations are still labour-intensive and mathematical approaches are not inclusive for all CH specialists. In this context, this research studies the application of Brodu and Lague's morphological segmen-tation algorithm called CANUPO to classify the architectural components of the facade of the 16th-century Casa de Pilatos Palace in Seville, Spain, from a Terrestrial Laser Scanning (TLS) point cloud dataset. In this paper, the experimentation on semantic segmentation was carried out using open-source software, specifically the CANUPO algorithm integrated into CloudCompare software.

Semantic interpretation of architectural and archaeological geometries: Point cloud segmentation for HBIM parameterisation / Moyano, J; Leon, J; Nieto-Julian, Je; Bruno, S. - In: AUTOMATION IN CONSTRUCTION. - ISSN 0926-5805. - ELETTRONICO. - 130:(2021), pp. 103856.1-103856.16. [10.1016/j.autcon.2021.103856]

Semantic interpretation of architectural and archaeological geometries: Point cloud segmentation for HBIM parameterisation

Bruno, S
2021-01-01

Abstract

The creation of Cultural Heritage (CH) Digital Twins is based on i) the capture of geometric data using digital technologies (laser scanning and photogrammetry); ii) the processing of the raw data to identify, segment and label the objects; and iii) their conversion into BIM objects. Hitherto, the most extensive method for BIM seg-mentation and modelling is manual, which led to research into the automation of this process, also in the field of CH. Manual operations are still labour-intensive and mathematical approaches are not inclusive for all CH specialists. In this context, this research studies the application of Brodu and Lague's morphological segmen-tation algorithm called CANUPO to classify the architectural components of the facade of the 16th-century Casa de Pilatos Palace in Seville, Spain, from a Terrestrial Laser Scanning (TLS) point cloud dataset. In this paper, the experimentation on semantic segmentation was carried out using open-source software, specifically the CANUPO algorithm integrated into CloudCompare software.
2021
Semantic interpretation of architectural and archaeological geometries: Point cloud segmentation for HBIM parameterisation / Moyano, J; Leon, J; Nieto-Julian, Je; Bruno, S. - In: AUTOMATION IN CONSTRUCTION. - ISSN 0926-5805. - ELETTRONICO. - 130:(2021), pp. 103856.1-103856.16. [10.1016/j.autcon.2021.103856]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/253180
Citazioni
  • Scopus 34
  • ???jsp.display-item.citation.isi??? 30
social impact