Muyle, CarlaSchenkel, ArnaudCampana, StefanoFerdani, DanieleGraf, HolgerGuidi, GabrieleHegarty, ZackaryPescarin, SofiaRemondino, Fabio2025-09-052025-09-052025978-3-03868-277-6https://doi.org/10.2312/dh.20253374https://diglib.eg.org/handle/10.2312/dh20253374As part of a project to digitize the infrastructure of the Université Libre de Bruxelles, a semi-automated digital acquisition methodology was developed to create a 3D inventory of the buildings on the Solbosch Campus. The objective is to build an up-to-date graphical database to facilitate the daily maintenance of the sites and support future renovation projects. A systematic workflow was therefore established: one that is both tailored to the constraints, challenges, and goals specific to each building, and that incorporates automated data processing methods to ensure efficiency, consistency, and scientific accuracy throughout the acquisition process. The ultimate aim is to produce coherent datasets that are aligned with one another, streamlining procedures for projects of similar nature and scale. The long-term value of this approach lies in the potential to fully automate certain stages of the workflow, thereby improving efficiency while maintaining high standards of data accuracy.Attribution 4.0 International LicenseCCS Concepts: Computing methodologies → Computer graphics→ Shape modeling → Point-based modelsComputing methodologies → Computer graphics→ Shape modeling → Pointbased models10.2312/dh.202533742 pages