Depth Restoration From RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds
In this paper, we propose a novel depth restoration algorithm from RGB-D data through combining characteristics of local and non-local manifolds, which provide low-dimensional parameterizations of the local and non-local geometry of depth maps. Specifically, on the one hand, a local manifold model i...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 28(2019), 3 vom: 01. März, Seite 1068-1079
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| Auteur principal: |
Liu, Xianming
(Auteur) |
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| Autres auteurs: |
Zhai, Deming,
Chen, Rong,
Ji, Xiangyang,
Zhao, Debin,
Gao, Wen |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2019
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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