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cascading_feature_extraction's Introduction

Cascading Feature Extraction for Fast Point Cloud Registration

This repository contains the source code for the paper "Cascading Feature Extraction for Fast Point Cloud Registration, (BMVC2021)" by Yoichiro Hisadome and Yusuke Matsui.

Method rotation error (หš) translation error (cm) chamfer error inferrence time (ms)
FGR 31.4 20 0.012 34
DCP-V2 12.6 17 0.011 12
RPMNet (Optim) 1.71 1.8 0.00085 58
RGM 1.56 1.5 0.00084 174
Proposed 1.23 1.3 0.00076 17

Getting Started

cascading_feature_extraction
|- datasets/
        |- modelnet40_ply_hdf5_2048.zip
        |- modelnet40_ply_hdf5_2048/
|- src/
    ...
|- pretrained/
        |- modelnet40.pth

Download dataset

Please add --insecure at the end of the installation command, in order of lack of certificate

curl -O https://shapenet.cs.stanford.edu/media/modelnet40_ply_hdf5_2048.zip 

Requirements

pip install -r requirements.txt

We confirmed that the code runs at Python>=3.7.

Train

cd src
python train.py

Test

cd src
python eval.py --resume ../pretrained/modelnet40.pth

Citation

@inproceedings{hisadome2021,
  title = {Cascading Feature Extraction for Fast Point Cloud Registration},
  author = {Hisadome, Yoichiro and Matsui, Yusuke},
  booktitle = {Proceedings of the British Machine Vision Conference},
  year={2021}
}

Acknowledgements

Our code is mainly based on RPMNet. We appreciate them for making the code available.

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