Project Overview
3D-Acquired Research Dataset (3D-ARD) is a research-oriented collection of complex and large-scale 3D objects and scenes, acquired and processed using state of the art hardware and software. Its goal is to bridge the gap between computer scientists (who develop acquisition and processing tools) and practitioners (who generate and work daily with these data), by providing high-quality data representative of practitioners usages.
- Data can be downloaded at: https://www.archeogrid.fr/project/6762
- Python API to ease data and metadata download: https://github.com/3D-ARD/python-module
For each item of the collection (e.g. an object, a building), we provide:
- raw data, acquired using different modalities (laser scanning, photogrammetry, micro-tomography),
- cleaned and reconstructed point-clouds and meshes,
- modeled version(s) of the item, produced by professional artists under experts supervision.
Plaster mold of the Lady of Elche, provided by the Musée d’Acquitaine. Statue located in the Musée d’Ethnographie de l’Université de Bordeaux Bird skull provided by the PACEA laboratory Building located in the campus of the University of Bordeaux
How to use in your work
Data will is available free of charge and for non-commercial usage only, and distributed under Creative Commons (checkout links at the top of this page).
If you use this data in your work, please cite it as follow:
@misc{3dard_2019, author = {Mellado, Nicolas and Marcadet, Quentin and Espinasse, Loic and Mora, Pascal and Dutailly, Bruno and Tournon-Valiente, Sarah and Granier, Xavier}, title = {{3D-ARD}: A 3D-Acquired Research Dataset}, month = {June}, year = {2020} }
Partners
- IRIT: data processing, project supervision
- Archeovision: acquisition, data processing
- Consortium 3D-SHS: funding
- Huma-Num: data hosting