Abstract : In this paper, we propose a dense two-frame stereo algorithm which handles occlusion in a variational framework. Our method is based on a new regularization model which includes both a constraint on the occlusion width and a visibility constraint in nonoccluded areas. The minimization of the resulting energy functional is done by convex relaxation. A post-processing then detects and fills the occluded regions. We also propose a novel dissimilarity measure that combines color and gradient comparison with a variable respective weight, to benefit from the robustness of the comparison based on local variations while avoiding the fattening effect it may generate.
https://hal-enpc.archives-ouvertes.fr/hal-01700678
Contributeur : Pascal Monasse <>
Soumis le : lundi 5 février 2018 - 10:07:43 Dernière modification le : mercredi 3 février 2021 - 07:54:26 Archivage à long terme le : : jeudi 3 mai 2018 - 05:40:36