How to use:
(1) install Matlab (tested successfully on Matlab 2021a, 2015 etc)
(2) for point cloud data, run “Implementation_lowrankpaper_pointcloud.m” in the folder of low-rank-pointcloud
(3) for mesh data, run “Implementation_lowrankpaper_mesh.m” in the folder of low-rank_mesh. Note: the released code is only the basic implementation, which might have slight difference in filtering/denosing results. The code is for research purpose only.
Please cite our paper:
@ARTICLE{Lu2020lowrank,
author={Lu, Xuequan and Schaefer, Scott and Luo, Jun and Ma, Lizhuang and He, Ying},
journal={IEEE Transactions on Visualization and Computer Graphics},
title={Low Rank Matrix Approximation for 3D Geometry Filtering},
year={2020},
volume={},
number={},
pages={1-1},
doi={10.1109/TVCG.2020.3026785}}