Random screening-based feature aggregation for point cloud denoising

Weijia Wang, Wei Pan, Xiao Liu, Kui Su, Bernard Rolfe, Xuequan Lu

Abstract: Highlights•Random screening-based point feature aggregation is useful for point cloud denoising.•Merging features of dense points into sparser points boosts point cloud denoising.•Our pipeline demonstrates robustness to noise and saves processing time.•Our technique achieves impressive results on severe noise and irregular points.