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
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Soumis le : lundi 5 février 2018 - 10:07:43
Dernière modification le : vendredi 10 janvier 2020 - 15:42:10
Archivage à long terme le : jeudi 3 mai 2018 - 05:40:36
