3D Surface Reconstruction and Volume Approximation via the meshless methods

Fuente: arXiv
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Autori principali: Li, T., Lei, M., Snead, James, Chen, C. S.
Natura: Preprint
Pubblicazione: 2025
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author Li, T.
Lei, M.
Snead, James
Chen, C. S.
author_facet Li, T.
Lei, M.
Snead, James
Chen, C. S.
contents In this paper, we propose several mathematical models for 3D surface reconstruction and volume estimation from a set of scattered cloud data. Three meshless methods including the interpolation-based method by RBF, PDE-based approach by Kansa's method and the Method of Fundamental Solutions are employed and compared. For the optimal recovery of the surfaces, the selection of free parameters in related PDE models are further studied and analyzed. Besides, several criteria like distance are employed in above methods instead of the classical parameter lambda determination strategy, which leads to a more reliable reconstruction performance. Finally, the volume estimation of 3D irregular objects is proposed based on the optimal reconstructed geometric models via proposed meshless methods. Numerous numerical examples are presented to demonstrate the effectiveness of the proposed surface reconstruction methods and the volume estimation strategy.
format Preprint
id arxiv_https___arxiv_org_abs_2503_07644
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle 3D Surface Reconstruction and Volume Approximation via the meshless methods
Li, T.
Lei, M.
Snead, James
Chen, C. S.
Numerical Analysis
Analysis of PDEs
In this paper, we propose several mathematical models for 3D surface reconstruction and volume estimation from a set of scattered cloud data. Three meshless methods including the interpolation-based method by RBF, PDE-based approach by Kansa's method and the Method of Fundamental Solutions are employed and compared. For the optimal recovery of the surfaces, the selection of free parameters in related PDE models are further studied and analyzed. Besides, several criteria like distance are employed in above methods instead of the classical parameter lambda determination strategy, which leads to a more reliable reconstruction performance. Finally, the volume estimation of 3D irregular objects is proposed based on the optimal reconstructed geometric models via proposed meshless methods. Numerous numerical examples are presented to demonstrate the effectiveness of the proposed surface reconstruction methods and the volume estimation strategy.
title 3D Surface Reconstruction and Volume Approximation via the meshless methods
topic Numerical Analysis
Analysis of PDEs
url https://arxiv.org/abs/2503.07644