This repository is the official MATLAB implementation of the following paper:
Wei Hu, Xiang Gao, Gene Cheung, Zongming Guo, "Feature Graph Learning for 3D Point Cloud Denoising," accepted to IEEE Transactions on Signal Processing (TSP), March, 2020.
This code is tested on MATLAB R2018a
under Windows 10 x64 platform. You can also run the following command in the MATLAB command line on Linux/macOS:
MATLAB> main
Note: you can directly run the script from the MATLAB command window.
To support more datasets and different noise levels, you can run the add_gaussian_noise
script to generate your own data and place them in the models
folder.
Please cite our paper if you use any part of the code from this repository:
@article{hu2019feature,
title={Feature Graph Learning for 3D Point Cloud Denoising},
author={Hu, Wei and Gao, Xiang and Cheung, Gene and Guo, Zongming},
journal={IEEE Transactions on Signal Processing (TSP)},
month={March},
year={2020}
}