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.
Originalsprog | Engelsk |
---|---|
Titel | International Conference on Machine Vision and Applications (ICMVA 2021) |
Antal sider | 5 |
Forlag | Association for Computing Machinery (ACM) |
Publikationsdato | 20 feb. 2021 |
Udgave | 4 |
Sider | 61-65 |
ISBN (Elektronisk) | 978-1-4503-8955-6 |
DOI | |
Status | Udgivet - 20 feb. 2021 |
Begivenhed | 4th International Conference on Machine Vision and Applications - , Singapore Varighed: 20 feb. 2021 → 22 feb. 2021 |
Konference
Konference | 4th International Conference on Machine Vision and Applications |
---|---|
Land/Område | Singapore |
Periode | 20/02/2021 → 22/02/2021 |