Research on the Rapid Processing and Three-Dimensional Reconstruction Technology of Special-Shaped Component Surface Data

Qifu Meng, Yihao Shen, Haochen Lu, Xin Jin, Chaojiang Li, Qiushuang Zhang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study proposes an efficient three-dimensional surface reconstruction method aimed at improving the accuracy and speed of reconstructing irregular components. First, the Moving Least Squares (MLS) algorithm is used for denoising, reducing the impact of noise. Next, a curvature-based downsampling strategy is applied to retain the point cloud in regions with rich details while reducing the number of points in flatter areas to improve efficiency. Finally, the AFSR algorithm is used to triangulate the processed point cloud and generate a high-quality 3D mesh. Experimental results demonstrate that this method significantly enhances the reconstruction quality of irregular components.

Original languageEnglish
Title of host publication2024 6th International Conference on Frontier Technologies of Information and Computer, ICFTIC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages970-975
Number of pages6
ISBN (Electronic)9798331541750
DOIs
Publication statusPublished - 2024
Event6th International Conference on Frontier Technologies of Information and Computer, ICFTIC 2024 - Qingdao, China
Duration: 13 Dec 202415 Dec 2024

Publication series

Name2024 6th International Conference on Frontier Technologies of Information and Computer, ICFTIC 2024

Conference

Conference6th International Conference on Frontier Technologies of Information and Computer, ICFTIC 2024
Country/TerritoryChina
CityQingdao
Period13/12/2415/12/24

Keywords

  • 3D Mesh Model
  • 3D Reconstruction
  • component
  • Curvature Downsampling
  • Reverse Engineering

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