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

8 citations as recorded by crossref.

1. Designing Vector Fields on Smoothed Particle Hydrodynamics Using Divergence-Constrained Moving Least Squares J. Kim
2. Refining the Joint 3D Processing of Terrestrial and UAV Images Using Quality Measures E. Farella et al.
3. StructuredLight-GNN: A graph neural network for end-to-end structured light 3D point cloud processing L. Liu et al.
4. Weld-seam identification and model reconstruction of remanufacturing blade based on three-dimensional vision O. Jing et al.
5. Optimising 3D point cloud semantic segmentation: ML and manual refinement in the UNESCO Saltaire Village V. Cotella et al.
6. Non-Destructive Surface Characterization Using Microscopic Imaging and Data Modeling M. Mączka et al.
7. Learning Representation of Turbulent Vector Fields via Efficient Moving Least Squares Based on Monte Carlo Method J. Kim & J. Lee
8. Visualization of Vector Fields from Density Data Using Moving Least Squares Based on Monte Carlo Method J. Kim