A RANSAC Based CAD Mesh Reconstruction Method Using Point Clustering for Mesh Connectivity

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Abstract

Mesh reconstruction is widely used in industrial reverse engineering and other 3D scanning applications. Many of the methods used can accurately and swiftly reconstruct a model from a given input scan dataset – however, in some applications, simplification of the output mesh may be needed to render further computation tractable. This paper presents a method based on a recursive RANSAC point removal approach, where an input point cloud is deconstructed into a set of convex point clusters, each corresponding to a mesh face of the final output model. The combined use of cluster analysis and RANSAC model extraction allows the method to operate on a relatively small number of possible vertex candidates for the final mesh, leading to an output mesh with relatively few faces compared to other approaches.
Original languageEnglish
Title of host publicationInternational Conference on Machine Vision and Applications (ICMVA 2021)
Number of pages5
PublisherAssociation for Computing Machinery
Publication date20 Feb 2021
Edition4
Pages61-65
ISBN (Electronic)978-1-4503-8955-6
DOIs
Publication statusPublished - 20 Feb 2021
Event4th International Conference on Machine Vision and Applications - , Singapore
Duration: 20 Feb 202122 Feb 2021

Conference

Conference4th International Conference on Machine Vision and Applications
Country/TerritorySingapore
Period20/02/202122/02/2021

Keywords

  • 3D Scanning
  • Industrial reverse engineering
  • Mesh reconstruction
  • PCL
  • Point cloud data
  • RANSAC

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