Awesome

Synthetic foot dataset used for foot prediction tasks. As featured in:

FOUND: <ins>F</ins>oot <ins>O</ins>ptimisation with <ins>U</ins>ncertain <ins>N</ins>ormals for Surface <ins>D</ins>eformation using Synthetic Data
Winter Conference on Applications of Computer Vision 2024
Oliver Boyne, Gwangbin Bae, James Charles, and Roberto Cipolla
[arXiv] [project page]

Data was produced using our BlenderSynth package.

Install

Normal format

Our normals are formatted in a camera relative reference frame, with RGB corresponding to XYZ, normalized in 0-255, such that (0, 1, 0) -> (128, 255, 128).

In our format, (XYZ) = (left, up, back)

Citation

If you use our work, please cite:

@inproceedings{boyne2024found,
            title={FOUND: {F}oot {O}ptimisation with {U}ncertain {N}ormals for Surface {D}eformation using Synthetic Data},
            author={Boyne, Oliver, and Bae, Gwangbin, and Charles, James and Cipolla, Roberto},
            booktitle={Winter Conference on Applications of Computer Vision (WACV)},
            year={2024}
}