GEOMETRIC PRIMITIVE EXTRACTION FROM SEMANTICALLY ENRICHED POINT CLOUDS

5 citations as recorded by crossref.

1. A 3D Feature-based Approach for Mapping Scaling Effects on Stone Monuments I. Munoz-Pandiella et al. https://doi.org/10.1145/3651988
2. Machine Learning and Deep Learning for the Built Heritage Analysis: Laser Scanning and UAV-Based Surveying Applications on a Complex Spatial Grid Structure D. Billi et al. https://doi.org/10.3390/rs15081961
3. Open-Vocabulary Semantic Segmentation with Uncertainty Alignment for Robotic Scene Understanding of Indoor Building Spaces Y. Xu et al. https://doi.org/10.1061/JCCEE5.CPENG-7818
4. Semi-automatic classification of digital heritage on the Aïoli open source 2D/3D annotation platform via machine learning and deep learning V. Croce et al. https://doi.org/10.1016/j.culher.2023.05.017
5. The Application of Historic Building Information Modelling (HBIM) to Cultural Heritage: A Review L. Lovell et al. https://doi.org/10.3390/heritage6100350