arXiv · 2207.00333
A framework for stereo vision via optimal transport
Abstract
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.
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Mattia Galeotti, Alessandro Sarti, Giovanna Citti. 2022-07-01. A framework for stereo vision via optimal transport. https://arxiv.org/abs/2207.00333
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