MODEL FOR SEMANTICALLY RICH POINT CLOUD DATA

12 citations as recorded by crossref.

1. Point Cloud vs. Mesh Features for Building Interior Classification M. Bassier et al. https://doi.org/10.3390/rs12142224
2. Voxel-based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods F. Poux & R. Billen https://doi.org/10.3390/ijgi8050213
3. 3D Point Cloud for Cultural Heritage: A Scientometric Survey S. Yang et al. https://doi.org/10.3390/rs14215542
4. Hastily formed knowledge networks and distributed situation awareness for collaborative robotics P. Doherty et al. https://doi.org/10.1007/s43684-021-00016-w
5. Initial User-Centered Design of a Virtual Reality Heritage System: Applications for Digital Tourism F. Poux et al. https://doi.org/10.3390/rs12162583
6. A Built Heritage Information System Based on Point Cloud Data: HIS-PC F. Poux et al. https://doi.org/10.3390/ijgi9100588
7. A Heritage Information System Based on Point-Clouds: Research and Intervention Analyses Made Accessible P. Redweik et al. https://doi.org/10.3390/heritage9020077
8. 3D Point Clouds in Archaeology: Advances in Acquisition, Processing and Knowledge Integration Applied to Quasi-Planar Objects F. Poux et al. https://doi.org/10.3390/geosciences7040096
9. 3D Point Cloud Semantic Modelling: Integrated Framework for Indoor Spaces and Furniture F. Poux et al. https://doi.org/10.3390/rs10091412
10. Three-Dimensional Point Cloud Semantic Segmentation for Cultural Heritage: A Comprehensive Review S. Yang et al. https://doi.org/10.3390/rs15030548
11. Point cloud semantic segmentation of grotto scenes using the knowledge-guided deep learning method S. Yang et al. https://doi.org/10.1080/17538947.2024.2385081
12. Segmentation of Structural Elements from 3D Point Cloud Using Spatial Dependencies for Sustainability Studies J. Ntiyakunze & T. Inoue https://doi.org/10.3390/s23041924