A fast high-dimensional continuation hypercubes algorithm

This paper introduces the Fast Continuation Hypercubes (FCH) algorithm, a method for generating piecewise linear approximations of implicitly defined manifolds of arbitrary dimension. By integrating and mixing key aspects of existing approaches, the FCH algorithm offers significant improvements in b...

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Published inComputers & graphics Vol. 129; p. 104237
Main Authors Reia, Lucas Martinelli, Gameiro, Marcio, Ribeiro, Tomás Bueno Moraes, Castelo, Antonio
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.06.2025
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ISSN0097-8493
DOI10.1016/j.cag.2025.104237

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Abstract This paper introduces the Fast Continuation Hypercubes (FCH) algorithm, a method for generating piecewise linear approximations of implicitly defined manifolds of arbitrary dimension. By integrating and mixing key aspects of existing approaches, the FCH algorithm offers significant improvements in both speed and memory efficiency. It traverses the domain by generating and processing only the necessary cells, which reduces the computational cost associated with high-dimensional manifold approximation. Additionally, the algorithm stores only the cells at the boundary of the traversed region, further optimizing memory efficiency. Experimental results demonstrate that FCH outperforms state-of-the-art algorithms in terms of runtime and memory usage. [Display omitted] •New algorithm for approximating implicitly defined manifolds of arbitrary dimension.•Mixing key concepts from existing approaches, leveraging their strengths.•Significant performance improvements, outperforming state-of-the-art algorithms.
AbstractList This paper introduces the Fast Continuation Hypercubes (FCH) algorithm, a method for generating piecewise linear approximations of implicitly defined manifolds of arbitrary dimension. By integrating and mixing key aspects of existing approaches, the FCH algorithm offers significant improvements in both speed and memory efficiency. It traverses the domain by generating and processing only the necessary cells, which reduces the computational cost associated with high-dimensional manifold approximation. Additionally, the algorithm stores only the cells at the boundary of the traversed region, further optimizing memory efficiency. Experimental results demonstrate that FCH outperforms state-of-the-art algorithms in terms of runtime and memory usage. [Display omitted] •New algorithm for approximating implicitly defined manifolds of arbitrary dimension.•Mixing key concepts from existing approaches, leveraging their strengths.•Significant performance improvements, outperforming state-of-the-art algorithms.
ArticleNumber 104237
Author Ribeiro, Tomás Bueno Moraes
Reia, Lucas Martinelli
Castelo, Antonio
Gameiro, Marcio
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Keywords Triangulation
High-Dimensional Marching Cubes
Manifold approximation/polygonization/tracing
Continuation method
Isomanifold
Language English
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Snippet This paper introduces the Fast Continuation Hypercubes (FCH) algorithm, a method for generating piecewise linear approximations of implicitly defined manifolds...
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StartPage 104237
SubjectTerms Continuation method
High-Dimensional Marching Cubes
Isomanifold
Manifold approximation/polygonization/tracing
Triangulation
Title A fast high-dimensional continuation hypercubes algorithm
URI https://dx.doi.org/10.1016/j.cag.2025.104237
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