Note: This code has been heaviy borrowed from https://github.com/guochengqian/PointNeXt Please follow the instructions from PointNeXt for installation of environment.
This is working in progress (However, the results of scanobjectnn mentioned in the papers can be easily recreated. Refer the log files).
Please cite our paper
@misc{https://doi.org/10.48550/arxiv.2212.05140,
doi = {10.48550/ARXIV.2212.05140},
url = {https://arxiv.org/abs/2212.05140},
author = {Sheshappanavar, Shivanand Venkanna and Kambhamettu, Chandra},
keywords = {Computer Vision and Pattern Recognition (cs.CV), Multimedia (cs.MM), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Local Neighborhood Features for 3D Classification},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}