A Proposal of Integration of Point Cloud Semantization and VPL for Architectural Heritage Parametric Modeling

The paper proposes a reproducible workflow for the semi-automated parametric modeling of architectural heritage starting from point cloud data acquired through laser scanning and photogrammetry. The methodology integrates automatic semantic segmentation, geometric feature recognition, mathematical analysis in Matlab, and Visual Programming Language (VPL) procedures in Dynamo to support Scan-to-BIM workflows. The system identifies geometric primitives from segmented point clouds, extracts modeling parameters, and generates parametric vault models automatically through a VPL environment. The research aims to reduce subjectivity, modeling time, and manual effort in heritage HBIM processes while improving reproducibility and scalability for architectural documentation and conservation.