English

$n$-Dimensional Volumetric Stretch Energy Minimization for Volume-/Mass-Preserving Parameterizations

Numerical Analysis 2024-02-02 v1 Numerical Analysis

Abstract

In this paper, we develop an nn dimensional volumetric stretch energy (nn-VSE) functional for the volume-/mass-preserving parameterization of the nn-manifolds topologically equivalent to nn-ball. The nn-VSE has a lower bound and equal to it if and only if the map is volume-/mass-preserving. This motivates us to minimize the nn-VSE to achieve the ideal volume-/mass-preserving parameterization. In the discrete case, we also guarantee the relation between the lower bound and the volume-/mass-preservation, and propose the spherical and ball volume-/mass-preserving parameterization algorithms. The numerical experiments indicate the accuracy and robustness of the proposed algorithms. The modified algorithms are applied to the manifold registration and deformation, showing the versatility of nn-VSE.

Cite

@article{arxiv.2402.00380,
  title  = {$n$-Dimensional Volumetric Stretch Energy Minimization for Volume-/Mass-Preserving Parameterizations},
  author = {Zhong-Heng Tan and Tiexiang Li and Wen-Wei Lin and Shing-Tung Yau},
  journal= {arXiv preprint arXiv:2402.00380},
  year   = {2024}
}
R2 v1 2026-06-28T14:34:10.224Z