Cultural heritage building segmentation and classificationusing point cloud data

The documentation and digital accessibility of historical buildings is an important issue. An integrated system that can be used in the restoration processes of cultural structures can be created by evaluating a historical building as a whole, by considering the region and period conditions in which it is located, and by realising an intelligent system that can replace existing manual systems. In this thesis, automatic segmentation of structures using point cloud data belonging to cultural structures in Gaziantep province and mesh model creation studies were carried out from segmented point cloud data. An artificial intelligence-based learning model was used to segment historical buildings and mesh model studies were completed using poisson transformation methods. Using the results obtained, the most comprehensive step of the studies carried out with the aim of developing the HBIM (Heritage Building Information Modelling) system has been completed.