3D Acquired Research Dataset (3d-ard)

3D Acquired Research Dataset (3d-ard)

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.

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.
3D Multimodal point-clouds and meshes

3D Multimodal point-clouds and meshes

Data used in Relative scale estimation and 3D registration of multi-modal geometry using Growing Least Squares (missing models are available on demand).
Please cite:

@ARTICLE{Mellado2015-multimodal,
    author={Mellado, Nicolas and Dellepiane, Matteo and Scopigno, Roberto},
    journal={Visualization and Computer Graphics, IEEE Transactions on},
    title={Relative scale estimation and 3D registration of multi-modal geometry using Growing Least Squares},
    year={2015},
    volume={PP},
    number={99},
    pages={1-1},
    doi={10.1109/TVCG.2015.2505287},
    ISSN={1077-2626},
    month={},
}

Pisa Cathedral

dataset_multimodal_cathpisa_scan
3D Scan

dataset_multimodal_cathpisa_pmvs
Photogrammetry (PMVS)

Photogrammetry (source images)