单连通开放曲面的半球参数化与谐波分解

IF 2.4 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-06-01 Epub Date: 2024-12-24 DOI:10.1016/j.cam.2024.116455
Gary P.T. Choi , Mahmoud Shaqfa
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引用次数: 0

摘要

开放表面的光谱分析在工程、计算机图形学和医学领域的表面形态学研究中获得了越来越多的动力。在目标分析域中使用适当的参数化方法来启用此分析。在本文中,我们建议使用可定制的参数化坐标,允许将开放曲面映射为扁圆或长条形半球曲面。为此,我们提出使用Tutte、保形、保面积和平衡映射将任意给定的单连通开放曲面参数化到最优半球上。通过对已知的半球形谐波基的推广,引入半球形谐波基对开参数曲面进行频谱展开。该方法利用半球体的深度作为自由度来控制开放曲面参数化域的大小,同时提供数值稳定的基函数。几个开放表面已经使用不同的映射组合进行了测试。我们还提出了基于优化的映射,以服务于重建问题的各种应用。总之,我们的工作提供了一种表示和分析单连通开放表面的有效方法。
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Hemispheroidal parameterization and harmonic decomposition of simply connected open surfaces
Spectral analysis of open surfaces is gaining momentum for studying surface morphology in engineering, computer graphics, and medical domains. This analysis is enabled using proper parameterization approaches on the target analysis domain. In this paper, we propose the usage of customizable parameterization coordinates that allow mapping open surfaces into oblate or prolate hemispheroidal surfaces. For this, we proposed the usage of Tutte, conformal, area-preserving, and balanced mappings for parameterizing any given simply connected open surface onto an optimal hemispheroid. The hemispheroidal harmonic bases were introduced to spectrally expand open parametric surfaces by generalizing the known hemispherical ones. This approach uses the depth of the hemispheroid as a degree of freedom to control the size of the parameterization domain of the open surfaces while providing numerically stable basis functions. Several open surfaces have been tested using different mapping combinations. We also propose optimization-based mappings to serve various applications on the reconstruction problem. Altogether, our work provides an effective way to represent and analyze simply connected open surfaces.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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