Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans
Ekaterina Kalinicheva, Loic Landrieu, Clément Mallet, Nesrine Chehata · CVPR Workshops 2022 · 2022
- Status
- To read
- Topics
- forest-segmentation, datasets
- Feeds
- P1 · ICCV 2027
- Dataset
- WildForest3D
What they did
Releases WildForest3D (29 UAV LiDAR plots, over 2,000 trees on 47,000 m² with dense 3D labels and occupancy and height maps for ground vegetation, understory and overstory) and a 3D network that predicts point labels and layer maps.
My note
No note yet.
Code
- Repository
- ekalinicheva/multi_layer_vegetation
- Framework
- PyTorch
- Licence
- See the repository
- My status
- Not tried
- Note
- No licence file in the repository.
BibTeX
@inproceedings{kalinicheva2022-wildforest3d,
title = {{Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans}},
author = {Ekaterina Kalinicheva and Loic Landrieu and Clément Mallet and Nesrine Chehata},
booktitle = {CVPR Workshops 2022},
year = {2022},
doi = {10.1109/CVPRW56347.2022.00140},
eprint = {2204.11620},
archivePrefix = {arXiv}
}