Title | ||
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Depth Restoration from RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds. |
Abstract | ||
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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 is defined to favor local neighboring relationship of pixels in depth, according to which, manifold r... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TIP.2018.2872175 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Manifolds,Image restoration,Degradation,Cameras,Image color analysis,Color,Colored noise | Laplacian matrix,Pattern recognition,Smoothing,Pixel,Inverse problem,RGB color model,Artificial intelligence,Image restoration,Thresholding,Manifold,Mathematics | Journal |
Volume | Issue | ISSN |
28 | 3 | 1057-7149 |
Citations | PageRank | References |
12 | 0.56 | 10 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xianming Liu | 1 | 461 | 47.55 |
Deming Zhai | 2 | 141 | 13.44 |
Rong Chen | 3 | 55 | 10.48 |
Xiangyang Ji | 4 | 533 | 73.14 |
Debin Zhao | 5 | 3010 | 206.12 |
Wen Gao | 6 | 11374 | 741.77 |