| --- |
| 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} |
| } |
| ``` |
