Structure-Aware Denoising for Real-world Noisy Point Clouds with Complex Structures-Reference-Cited by-同舟云学术

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Structure-Aware Denoising for Real-world Noisy Point Clouds with Complex Structures

Published:2022-08 Issue: Volume:149 Page:103275
ISSN:0010-4485
Container-title:Computer-Aided Design
language:en
Short-container-title:Computer-Aided Design

Author:

Sun Guoxing,Chu Chao,Mei Jialin,Li Weiqing^ORCID,Su Zhiyong^ORCID

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Reference63 articles.

1. Denoising of point cloud data for computer-aided design, engineering, and manufacturing;Chen;Eng Comput,2018

2. A new segmentation method for point cloud data;Woo;Int J Mach Tools Manuf,2002

3. Large-scale point cloud semantic segmentation with superpoint graphs;Landrieu,2018

4. Escape from cells: Deep kd-networks for the recognition of 3D point cloud models;Klokov,2017

5. Attentional shapecontextnet for point cloud recognition;Xie,2018

Cited by 5 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. A 3D pickup estimation method for industrial parallel robots based on point cloud simplification and registration;The International Journal of Advanced Manufacturing Technology;2024-07-02

2. Denoising point clouds with fewer learnable parameters;Computer-Aided Design;2024-07

3. Point Cloud Denoising in Outdoor Real-World Scenes Based on Measurable Segmentation;Remote Sensing;2024-06-27

4. A 3D pickup estimation method for industrial parallel robots based on point cloud simplification and registration;2023-08-14

5. Deep Learning-based Polygonal Mesh Reconstruction from Point Clouds for Mixed Reality Visualization;Proceedings of the 33rd International Conference on Computer Graphics and Vision;2023

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