A REVIEW OF POINT CLOUD SEGMENTATION OF ARCHITECTURAL CULTURAL HERITAGE

6 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. 10.3390/s24061718
2. DSC-Net: learning discriminative spatial contextual features for semantic segmentation of large-scale ancient architecture point clouds J. Zhao et al. 10.1186/s40494-024-01367-2
3. Optimising 3D point cloud semantic segmentation: ML and manual refinement in the UNESCO Saltaire Village V. Cotella et al. 10.1080/09613218.2025.2521751
4. From comparison to integration: A workflow evaluation of 3D Gaussian splatting and LiDAR point cloud for modern architectural heritage Y. Yu et al. 10.1016/j.autcon.2025.106509
5. Historic Built Environment Assessment and Management by Deep Learning Techniques: A Scoping Review V. Giannuzzi & F. Fatiguso 10.3390/app14167116
6. Semantic Enrichment of Architectural Heritage Point Clouds Using Artificial Intelligence: The Palacio de Sástago in Zaragoza, Spain M. Buldo et al. 10.3390/heritage7120321