• Corpus ID: 229297958

FG-Net: Fast Large-Scale LiDAR Point CloudsUnderstanding Network Leveraging CorrelatedFeature Mining and Geometric-Aware Modelling

@article{Liu2020FGNetFL,
  title={FG-Net: Fast Large-Scale LiDAR Point CloudsUnderstanding Network Leveraging CorrelatedFeature Mining and Geometric-Aware Modelling},
  author={Kangcheng Liu and Zhi Gao and Feng Lin and Ben M. Chen},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.09439}
}
This work presents FG-Net, a general deep learning framework for large-scale point clouds understanding without voxelizations, which achieves accurate and real-time performance with a single NVIDIA GTX 1080 GPU. First, a novel noise and outlier filtering method is designed to facilitate subsequent high-level tasks. For effective understanding purpose, we propose a deep convolutional neural network leveraging correlated feature mining and deformable convolution based geometric-aware modelling… 
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The Chinese University of Hong Kong
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