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

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1 Citationer (Scopus)
126 Downloads (Pure)

Abstrakt

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.
OriginalsprogEngelsk
TitelInternational Conference on Machine Vision and Applications (ICMVA 2021)
Antal sider5
ForlagAssociation for Computing Machinery
Publikationsdato20 feb. 2021
Udgave4
Sider61-65
ISBN (Elektronisk)978-1-4503-8955-6
DOI
StatusUdgivet - 20 feb. 2021
Begivenhed4th International Conference on Machine Vision and Applications - , Singapore
Varighed: 20 feb. 202122 feb. 2021

Konference

Konference4th International Conference on Machine Vision and Applications
Land/OmrådeSingapore
Periode20/02/202122/02/2021

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