A REVIEW OF POINT CLOUD SEGMENTATION OF ARCHITECTURAL CULTURAL HERITAGE

8 citations as recorded by crossref.

1. Point Cloud Denoising and Feature Preservation: An Adaptive Kernel Approach Based on Local Density and Global Statistics L. Wang et al.
2. Reusability and benchmarking potential of architectural cultural heritage datasets for generative AI: An analytical study M. Abu Talib et al.
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4. Optimising 3D point cloud semantic segmentation: ML and manual refinement in the UNESCO Saltaire Village V. Cotella et al.
5. From comparison to integration: A workflow evaluation of 3D Gaussian splatting and LiDAR point cloud for modern architectural heritage Y. Yu et al.
6. Historic Built Environment Assessment and Management by Deep Learning Techniques: A Scoping Review V. Giannuzzi & F. Fatiguso
7. Semantic Enrichment of Architectural Heritage Point Clouds Using Artificial Intelligence: The Palacio de Sástago in Zaragoza, Spain M. Buldo et al.
8. Artificial Intelligence for Detecting Surface Alteration Phenomena in Stone-Built Heritage: The Case of the ‘Unfinished Church’ of Venosa M. Buldo et al.