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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@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}
}
@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}}