Datasets:
image imagewidth (px) 250 250 | id int64 0 5 | points int64 737k 836k | lighting stringclasses 6
values | file stringclasses 6
values |
|---|---|---|---|---|
0 | 835,964 | neutral white lighting | room_white.ply | |
1 | 759,839 | indoor lighting | room_dimmed.ply | |
2 | 783,700 | low-light illumination | room_dark.ply | |
3 | 737,390 | red ambient lighting | room_red.ply | |
4 | 777,632 | green ambient lighting | room_green.ply | |
5 | 814,808 | blue ambient lighting | room_blue.ply |
HueDataset
The HueDataset was developed as a component of my master's thesis and later featured in my publication titled Color Transfer of 3D Point Clouds XR Applications. This dataset provides 3D reconstructions of a single room under varying lighting conditions, achieved by illuminating the space with hue color lamps. It serves as a valuable ground truth for evaluating color transfer algorithms for 3d point clouds.
Details
- A bedroom scene, encompassing the floor and two walls.
- Six aligned point clouds, each showcasing diverse illumination settings.
- Reconstruction achieved using ElasticFusion in conjunction with KinectV1.
- Each point cloud comprises 700-800K vertices and is approximately 50MB in size.
Citation
If you utilize this dataset in your research, kindly provide a citation:
@inproceedings{potechius2021,
author={Potechius, H. and Sikora, T. and Knorr, S.},
booktitle={IEEE International Conference on 3D Immersion (IC3D)},
title={{Color Transfer of 3D Point Clouds For XR Applications}},
year={2021},
pages={1-8},
doi={10.1109/IC3D53758.2021.9687162}
}
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