Datasets:
File size: 3,777 Bytes
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license: cc-by-nc-4.0
tags:
- 3d-reconstruction
- photogrammetry
task_categories:
- image-to-3d
---
# EAH Dataset
Using a DJI Mavic Pro 2 drone, multiple videos were recorded of the three buildings at EAH Jena. Frames from these videos were extracted and post-processed to remove all visible people. These images were then used in Agisoft Metashape to generate 3D reconstructions of the buildings. The reconstructions were aligned to match the real-world orientation of the structures. Additionally, all intrinsic and extrinsic properties of each image were adjusted to accurately fit the resulting 3D models.
## Details
- Photogrammetric 3D reconstructions of the three buildings of the EAH Jena.
- Each building comes with a set of images of size 3840 x 2160 px.
- Availability of intrinsic and extrinsic properties for each image.
- The capture time for each building is included.
- Published in the paper Enhanced Illumination Adjustment in 3D Outdoor Reconstructions via Shadow Removal through Color Transfer.
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6331b00ab7b8e9d6e89a5dc0/PpckOkXQsSvaPA71z1Snq.webp" width="512">
<br>
<em>Figure 1: Visualization of all three building reconstructions, including rendered camera positions and example comparisons between real images and their corresponding rendered views.</em>
</p>
## Example: camera.json
This file contains the orientation for each camera:
```json
[
{
"name": "2023-12-16_H123_S00_frame_000000",
"matrix": [
[
-0.36218704547169456,
0.0470962303839341,
-0.02439450093992581,
4.864710171746611
],
[
-0.011334934698936936,
-0.2331992996061323,
-0.28192589171372706,
7.814374531518212
],
[
-0.05181376118229091,
-0.2781953167233997,
0.2321966890489866,
-15.199963535169367
],
[
0.0,
0.0,
0.0,
1.0
]
]
},
...
```
## Example: meta.json
This file contains the capture time range (start and end timestamps), the mesh center position (latitude and longitude) for each building, and the corresponding camera properties.
```json
{
"building": "123",
"time": {
"start": "2023-12-16T14:04:30Z",
"end": "2023-12-16T14:47:00Z"
},
"position": {
"latitude": 50.918489,
"longitude": 11.568956
},
"camera" : {
"width": 3840,
"height": 2160,
"f": 3099.1976427399018,
"cx":-7.400794341491066,
"cy":-25.280509058365258,
"k1":-0.0027277484561097185,
"k2":0.013177854331186076,
"k3":-0.010827747284070439,
"p1":-0.0015060061379312184,
"p2":-0.0010258224524181574
}
}
```
## Citation
If you utilize this dataset in your research, kindly provide a citation:
```
@inproceedings{potechius2024,
author = {Potechius, Herbert and Essaky, Selvam and Raja, Gunasekaran and Sikora, Thomas and Knorr, Sebastian},
title = {Enhanced Illumination Adjustment in 3D Outdoor Reconstructions via Shadow Removal through Color Transfer},
year = {2024},
isbn = {9798400712814},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3697294.3697308},
doi = {10.1145/3697294.3697308},
booktitle = {Proceedings of 21st ACM SIGGRAPH Conference on Visual Media Production},
articleno = {2},
numpages = {10},
location = {London, United Kingdom},
series = {CVMP '24}
}
``` |