Depth Image Inpainting: Improving Low Rank Matrix Completion With Low Gradient Regularization-Reference-Cited by-同舟云学术

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Depth Image Inpainting: Improving Low Rank Matrix Completion With Low Gradient Regularization

Published:2017-09 Issue:9 Volume:26 Page:4311-4320
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Xue Hongyang^ORCID,Zhang Shengming,Cai Deng

Funder

National Basic Research Program of China (973 Program)

National Youth Top-Notch Talent Support Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/7956620/07954738.pdf?arnumber=7954738

Cited by 88 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generative adversarial networks for multi-fidelity matrix completion with massive missing entries;Information Fusion;2024-11

2. Depth Image Rectification Based on an Effective RGB–Depth Boundary Inconsistency Model;Electronics;2024-08-22

3. Low-Rank Completion Based Normal Guided Lidar Point Cloud Up-Sampling;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Depth Image Inpainting Algorithm Based on Improved Non-Local Means Filtering;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12

5. DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality;2024 International Conference on 3D Vision (3DV);2024-03-18

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