Point Cloud Denoising via Feature Graph Laplacian Regularization-Reference-Cited by-同舟云学术

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Point Cloud Denoising via Feature Graph Laplacian Regularization

Published:2020 Issue: Volume:29 Page:4143-4158
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Dinesh Chinthaka^ORCID,Cheung Gene^ORCID,Bajic Ivan V.^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8835130/08976421.pdf?arnumber=8976421

Cited by 54 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. Graph signal processing based nonlinear QSAR/QSPR model learning for compounds;Biomedical Signal Processing and Control;2024-05

2. PointSGRADE: Sparse learning with graph representation for anomaly detection by using unstructured 3D point cloud data;IISE Transactions;2023-11-27

3. FCNet: Learning Noise-Free Features for Point Cloud Denoising;IEEE Transactions on Circuits and Systems for Video Technology;2023-11

4. Robust Watermark Imaging via Graph-signal Optimization;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

5. Retinex-based Image Denoising / Contrast Enhancement Using Gradient Graph Laplacian Regularizer;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

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