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

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.