Point Cloud Upsampling Algorithm: A Systematic Review

Point cloud upsampling algorithms can improve the resolution of point clouds and generate dense and uniform point clouds, and are an important image processing technology. Significant progress has been made in point cloud upsampling research in recent years. This paper provides a comprehensive surve...

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Main Authors: Yan Zhang, Wenhan Zhao, Bo Sun, Ying Zhang, Wen Wen
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/15/4/124
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author Yan Zhang
Wenhan Zhao
Bo Sun
Ying Zhang
Wen Wen
author_facet Yan Zhang
Wenhan Zhao
Bo Sun
Ying Zhang
Wen Wen
author_sort Yan Zhang
collection DOAJ
description Point cloud upsampling algorithms can improve the resolution of point clouds and generate dense and uniform point clouds, and are an important image processing technology. Significant progress has been made in point cloud upsampling research in recent years. This paper provides a comprehensive survey of point cloud upsampling algorithms. We classify existing point cloud upsampling algorithms into optimization-based methods and deep learning-based methods, and analyze the advantages and limitations of different algorithms from a modular perspective. In addition, we cover some other important issues such as public datasets and performance evaluation metrics. Finally, we conclude this survey by highlighting several future research directions and open issues that should be further addressed.
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spelling doaj.art-4dff40fca9b24376a24ce19f5e966b232023-12-01T00:28:57ZengMDPI AGAlgorithms1999-48932022-04-0115412410.3390/a15040124Point Cloud Upsampling Algorithm: A Systematic ReviewYan Zhang0Wenhan Zhao1Bo Sun2Ying Zhang3Wen Wen4Logistics Engineering College, Shanghai Maritime University, Shanghai 201306, ChinaLogistics Engineering College, Shanghai Maritime University, Shanghai 201306, ChinaShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, ChinaShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, ChinaShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201204, ChinaPoint cloud upsampling algorithms can improve the resolution of point clouds and generate dense and uniform point clouds, and are an important image processing technology. Significant progress has been made in point cloud upsampling research in recent years. This paper provides a comprehensive survey of point cloud upsampling algorithms. We classify existing point cloud upsampling algorithms into optimization-based methods and deep learning-based methods, and analyze the advantages and limitations of different algorithms from a modular perspective. In addition, we cover some other important issues such as public datasets and performance evaluation metrics. Finally, we conclude this survey by highlighting several future research directions and open issues that should be further addressed.https://www.mdpi.com/1999-4893/15/4/124point cloud upsamplingdeep learninggenerative adversarial network (GAN)graph convolutional network (GCN)unsupervised learning
spellingShingle Yan Zhang
Wenhan Zhao
Bo Sun
Ying Zhang
Wen Wen
Point Cloud Upsampling Algorithm: A Systematic Review
Algorithms
point cloud upsampling
deep learning
generative adversarial network (GAN)
graph convolutional network (GCN)
unsupervised learning
title Point Cloud Upsampling Algorithm: A Systematic Review
title_full Point Cloud Upsampling Algorithm: A Systematic Review
title_fullStr Point Cloud Upsampling Algorithm: A Systematic Review
title_full_unstemmed Point Cloud Upsampling Algorithm: A Systematic Review
title_short Point Cloud Upsampling Algorithm: A Systematic Review
title_sort point cloud upsampling algorithm a systematic review
topic point cloud upsampling
deep learning
generative adversarial network (GAN)
graph convolutional network (GCN)
unsupervised learning
url https://www.mdpi.com/1999-4893/15/4/124
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AT bosun pointcloudupsamplingalgorithmasystematicreview
AT yingzhang pointcloudupsamplingalgorithmasystematicreview
AT wenwen pointcloudupsamplingalgorithmasystematicreview