RT info:eu-repo/semantics/conferenceObject
T1 A Tool for the Analysis and Virtual Reality Visualization of the Virtual Restoration of Cultural Heritage 3D Models
A1 Rodríguez García, Bruno
A1 Corchia, Laura
A1 Faggiano, Federica
A1 García Tejerina, Diana
A1 De Paolis, Lucio Tommaso
K1 Virtual reality
K1 Cultural heritage
K1 Virtual restoration
K1 Virtual Reconstruction
K1 3D Analysis
K1 Realidad virtual
K1 Virtual reality
K1 Informática
K1 Computer science
K1 Patrimonio cultural
K1 Cultural property
AB This paper introduces Model Checker, an open-source plugin for Blender designed to analyse distance discrepancies between 3D models and visualize the results using heatmaps. It is designed for analysing discrepancies during retopology and restoration processes, seamlessly integrated into the Blender environment. The plugin extracts minimum, maximum, mean, and standard deviation distances between models, visualized with heatmaps based on adaptable thresholds. It also provides change tracking in the heatmaps, facilitating comparison between different project versions. Heatmaps are exportable as textures and compatible with immersive Virtual Reality (iVR) visualization within Blender, enabling convenient analysis and visualization within the workspace. Comparative analysis with CloudCompare reveals an error margin of maximum 1mm for Model Checker, making it suitable for tasks requiring similar precision. The results indicate its suitability as a viable alternative in projects requiring millimetric precision restoration, particularly notable for its integration into modelling software, change control, and iVR visualization capabilities. Future development efforts should focus on optimizing the process to enhance both accuracy and analysis time.
PB Springer
SN 0302-9743
YR 2024
FD 2024-09
LK http://hdl.handle.net/10259/10496
UL http://hdl.handle.net/10259/10496
LA eng
NO Comunicación presentada en International Conference on eXtended Reality (XR Salento 2024), celebrado en Lecce, Italia durante los días 4-7 de septiembre de 2024.
NO This work is part of the project Humanaid (TED2021-129485BC43) funded by MCIN/AEI/10.13039/501100011033 and the European Union “NextGener tionEU”/PRTR.
DS Repositorio Institucional de la Universidad de Burgos
RD 01-jun-2025