Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement-Reference-Cited by-同舟云学术

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Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement

Published:2022 Issue: Volume:31 Page:6863-6878
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Zhang Xue¹^ORCID,Cheung Gene²^ORCID,Pang Jiahao³^ORCID,Sanghvi Yash⁴^ORCID,Gnanasambandam Abhiram⁴^ORCID,Chan Stanley H.⁴^ORCID

Affiliation:

1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

2. Department of EECS, York University, Toronto, ON, Canada

3. InterDigital Communications Inc., New York, NY, USA

4. School of ECE, Purdue University, West Lafayette, IN, USA

Funder

Natural Sciences and Engineering Research Council of Canada

InterDigital

U.S. National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9626658/09932276.pdf?arnumber=9932276

Reference76 articles.

1. Sparse inverse covariance estimation with the graphical lasso

2. Graph-Based Blind Image Deblurring From a Single Photograph

3. Graph Learning From Data Under Laplacian and Structural Constraints

4. How to learn a graph from smooth signals;kalofolias;Proc 19th Int Conf Artif Intell Statist,2016

5. Point Cloud Quality Assessment: Dataset Construction and Learning-based No-reference Metric

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2. Research on Point Cloud Data Processing in Multiple Scenarios;2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS);2024-05-31

3. Rapid extraction of pavement aggregate gradation based on point clouds using deep learning networks;Automation in Construction;2023-10

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