We present a theoretical framework for a stereo vision method via optimal transport tools. We consider two aligned optical systems and we develop the matching between the two pictures line by line. By considering a regularized version of the optimal transport, we can speed up the computation and obtain a very accurate disparity function evaluation. Moreover, via this same method we can approach successfully the case of images with occluded regions.
@article{arxiv.2207.00333,
title = {A framework for stereo vision via optimal transport},
author = {Mattia Galeotti and Alessandro Sarti and Giovanna Citti},
journal= {arXiv preprint arXiv:2207.00333},
year = {2022}
}