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3D-point-cloud-sampling

Matlab source code for our paper: Graph-based scalable sampling of 3D point cloud attributes.

Submitted for review at IEEE Transactions on Image Processing. This version of source code is implementation of sampling frameworks proposed in our paper.

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Your appreciation motivates me to do rigorous research and develop quality software. If you find this software useful, you can show your appreciation by starring the repository. If you use this software towards your research, cite this paper. Here's the bibtex citation for your convenience.

@article{sridhara2024graph,
  title={Graph-based Scalable Sampling of 3D Point Cloud Attributes},
  author={Sridhara, Shashank N and Pavez, Eduardo and Jayawant, Ajinkya and Ortega, Antonio and Watanabe, Ryosuke and Nonaka, Keisuke},
  journal={arXiv preprint arXiv:2410.01027},
  year={2024}
}

Citing uniform sampling work

@INPROCEEDINGS{9746352,
  author={Sridhara, Shashank N. and Pavez, Eduardo and Ortega, Antonio and Watanabe, Ryosuke and Nonaka, Keisuke},
  booktitle={ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, 
  title={Point Cloud Attribute Compression Via Chroma Subsampling}, 
  year={2022},
  volume={},
  number={},
  pages={2579-2583},
  keywords={Point cloud compression;Interpolation;Three-dimensional displays;Bit rate;Signal processing algorithms;Video compression;Decoding;chroma subsampling;compression;interpolation;attributes},
  doi={10.1109/ICASSP43922.2022.9746352}}

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Fast 3D point cloud attribute sampling

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