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math.NA2025

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

Shu-Yung Liu, Mei-Heng Yueh

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…

math.NA2025

Toroidal area-preserving parameterizations of genus-one closed surfaces

Marco Sutti, Mei-Heng Yueh

We consider the problem of computing toroidal area-preserving parameterizations of genus-one closed surfaces. We propose four algorithms based on Riemannian geometry: the projected…

math.NA2024

Spherical Area-Preserving Parameterization via Energy Minimization

Shu-Yung Liu, Mei-Heng Yueh

We propose a novel method, called spherical authalic energy minimization (SAEM), for computing spherical area-preserving parameterizations of genus-zero closed surfaces, with stron…

math.NA2024

Energy-Based Distortion-Balancing Parameterization for Open Surfaces

Shu-Yung Liu, Mei-Heng Yueh

Surface parameterization is a fundamental concept in fields such as differential geometry and computer graphics. It involves mapping a surface in three-dimensional space onto a two…

math.NA2024

Isovolumetric Energy Minimization for Ball-Shaped Volume-Preserving Parameterizations of 3-Manifolds

Shu-Yung Liu, Tsung-Ming Huang, Wen-Wei Lin +1

A volume-preserving parameterization is a bijective mapping that maps a 3-manifold onto a specified canonical domain that preserves the local volume. This paper formulates the comp…

math.NA2024

Riemannian gradient descent for spherical area-preserving mappings

Marco Sutti, Mei-Heng Yueh

We propose a new Riemannian gradient descent method for computing spherical area-preserving mappings of topological spheres using a Riemannian retraction-based framework with theor…