Square-Domain Area-Preserving Parameterization for Genus-Zero and Genus-One Closed Surfaces

Fuente: arXiv
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Autori principali: Liu, Shu-Yung, Yueh, Mei-Heng
Natura: Preprint
Pubblicazione: 2025
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author Liu, Shu-Yung
Yueh, Mei-Heng
author_facet Liu, Shu-Yung
Yueh, Mei-Heng
contents The parameterization of closed surfaces typically requires either multiple charts or a non-planar domain to achieve a seamless global mapping. In this paper, we propose a numerical framework for the seamless parameterization of genus-zero and genus-one closed simplicial surfaces onto a unit square domain. The process begins by slicing the surface with either the shortest-path or the Reeb graph method. The sliced surface is then mapped onto the unit square using a globally convergent algorithm that minimizes the weighted variance of per-triangle area ratios to achieve area preservation. Numerical experiments on benchmark models demonstrate that our method achieves high accuracy and efficiency. Furthermore, the proposed method enables applications such as geometry images, producing accurate and high-quality surface reconstructions.
format Preprint
id arxiv_https___arxiv_org_abs_2509_22269
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Square-Domain Area-Preserving Parameterization for Genus-Zero and Genus-One Closed Surfaces
Liu, Shu-Yung
Yueh, Mei-Heng
Numerical Analysis
Computational Geometry
65D17, 65D18, 68U01, 68U05
The parameterization of closed surfaces typically requires either multiple charts or a non-planar domain to achieve a seamless global mapping. In this paper, we propose a numerical framework for the seamless parameterization of genus-zero and genus-one closed simplicial surfaces onto a unit square domain. The process begins by slicing the surface with either the shortest-path or the Reeb graph method. The sliced surface is then mapped onto the unit square using a globally convergent algorithm that minimizes the weighted variance of per-triangle area ratios to achieve area preservation. Numerical experiments on benchmark models demonstrate that our method achieves high accuracy and efficiency. Furthermore, the proposed method enables applications such as geometry images, producing accurate and high-quality surface reconstructions.
title Square-Domain Area-Preserving Parameterization for Genus-Zero and Genus-One Closed Surfaces
topic Numerical Analysis
Computational Geometry
65D17, 65D18, 68U01, 68U05
url https://arxiv.org/abs/2509.22269