This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Department of Surveying and Geoinformatics Engineering, Polytechnic, University of West Attica , Athens , Greece
Department of Surveying and Geoinformatics Engineering, Polytechnic, University of West Attica , Athens , Greece
This study presents a comparative analysis of proprietary and custom point cloud classification pipelines in the context of cultural heritage documentation, using the Monodri Bridge in Evia, Greece, as a case study. The research evaluates the performance, flexibility, and suitability of commercial software solutions versus tailored, open-source workflows, focusing on their ability to accurately classify and segment complex architectural and geomorphological features for heritage-oriented applications. High-resolution point cloud data were processed through both approaches, allowing a detailed comparison of classification accuracy, computational demands, and adaptability to heritage-specific requirements. The findings highlight the potential of custom pipelines to offer enhanced methodological transparency, greater control over processing parameters, and improved reproducibility, while proprietary tools provide streamlined, user-friendly environments with simplified workflows that reduce user workload. Overall, this study contributes to the advancement of digital cultural heritage methodologies by demonstrating how different classification strategies can influence the quality and reliability of 3D documentation outputs.
Point Cloud Classification, Cultural Heritage Documentation, Custom Pipelines, Proprietary Software, 3D Documentation, Digital Heritage, Monodri Bridge
The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.
