uc-vision / synthetic-trees-II

Synthetic tree point cloud dataset with ground truth skeletons.

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🌿🌳🌱 Synthetic-Trees-II 🌱🌳🌿

πŸ“– Description

This repository offers a synthetic point cloud dataset with ground truth skeletons of multiple species.

πŸ–ΌοΈ Images

Below are some images of point clouds from the dataset:

πŸ’Ώ Download

You can download the data by following this link.

πŸ”— Dependencies

Our dataset uses subtractive augmentations based on Perlin Noise.
We offer a GPU-based implementation of Perlin Noise, available in this repository.
For data visualization, we recommend our previously developed library, accessible via this link.
An example augmentation can be done using python augmentation.py

πŸ“„ Citation

Please use the following BibTeX entry to cite our work:

@article{dobbs2024quantifying,
  title={Quantifying robustness: 3D tree point cloud skeletonization with smart-tree in noisy domains},
  author={Dobbs, Harry and Batchelor, Oliver and Peat, Casey and Atlas, James and Green, Richard},
  journal={Pattern Analysis and Applications},
  volume={27},
  number={1},
  pages={28},
  year={2024},
  publisher={Springer}
}

πŸ“© Contact

Should you have any questions, comments or suggestions please use the following contact details: harry.dobbs@pg.canterbury.ac.nz

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Synthetic tree point cloud dataset with ground truth skeletons.

License:GNU General Public License v3.0


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Language:Python 100.0%