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

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.

Publication Details

Journal
ArXiv.org
Published
2025-09-26
Primary Topic
SARS-CoV-2 and COVID-19 Research
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article

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

ArXiv.org
SARS-CoV-2 and COVID-19 Research
article

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

article en

Abstract

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.

ArXiv.org
Openalex Percentile: Top 43%
SARS-CoV-2 and COVID-19 Research
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Square-Domain Area-Preserving Parameterization for Genus-Zero and Genus-One Closed Surfaces · ArXiv.org (2025) | TGRS Research Map | TGRS