POINT CLOUD SMOOTH SAMPLING AND SURFACE RECONSTRUCTION BASED ON MOVING LEAST SQUARES

7 citations as recorded by crossref.

1. Designing Vector Fields on Smoothed Particle Hydrodynamics Using Divergence-Constrained Moving Least Squares J. Kim 10.15701/kcgs.2025.31.4.11
2. Refining the Joint 3D Processing of Terrestrial and UAV Images Using Quality Measures E. Farella et al. 10.3390/rs12182873
3. Weld-seam identification and model reconstruction of remanufacturing blade based on three-dimensional vision O. Jing et al. 10.1016/j.aei.2021.101300
4. Optimising 3D point cloud semantic segmentation: ML and manual refinement in the UNESCO Saltaire Village V. Cotella et al. 10.1080/09613218.2025.2521751
5. Non-Destructive Surface Characterization Using Microscopic Imaging and Data Modeling M. Mączka et al. 10.3390/ma18184376
6. Learning Representation of Turbulent Vector Fields via Efficient Moving Least Squares Based on Monte Carlo Method J. Kim & J. Lee 10.1109/ACCESS.2025.3601241
7. Visualization of Vector Fields from Density Data Using Moving Least Squares Based on Monte Carlo Method J. Kim 10.15701/kcgs.2024.30.2.1