Title
Depth Restoration from RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds.
Abstract
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 Liu146147.55
Deming Zhai214113.44
Rong Chen35510.48
Xiangyang Ji453373.14
Debin Zhao53010206.12
Wen Gao611374741.77