World Heritage Site: Castel del Monte
Publication Year: 2024
Publication Type: Article
Publication Identifier: WHE31B4207E23
Summary
A novel software, Intelligent Cloud Viewer (ICV), demonstrates unprecedented efficiency in managing and visualizing large-scale point clouds, even on standard computing systems. Developed by AESEI software (a spin-off of Politecnico di Bari), ICV leverages advanced computational techniques, including Open Inventor for graphics, CGAL for geometry, and PCL for point cloud processing, to handle tens of millions of points with optimized rendering. Tested on photogrammetric and TLS data, the platform excels in tasks such as georeferencing, matching, decimation, and distance calculations. Its application at Castel del Monte showcased rapid data acquisition—800 photos in 15 minutes—with high coverage, validating its potential for large-scale heritage surveys.
Citation
Alessia Marini, Lorenzo Bianchi
Pennsylvania State University (Smeal College of Business), & USA. (2024). Efficient Point Cloud Management through an Integrated Cloud-Based Visualization Platform. Zenodo. https://doi.org/10.5281/ZENODO.19352104
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