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Published in 2022 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2022.3225526
Abstract: Volumetric data abounds in medical imaging and other fields. With the improved imaging quality and the increased resolution, volumetric datasets are getting so large that the existing tools have become inadequate for processing and analyzing…
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Keywords:
tetrahedral meshes;
large volumetric;
volumetric datasets;
multiple materials ... See more keywords
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Published in 2020 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14068
Abstract: Discrete Laplacians for triangle meshes are a fundamental tool in geometry processing. The so‐called cotan Laplacian is widely used since it preserves several important properties of its smooth counterpart. It can be derived from different…
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Keywords:
construction;
operators tetrahedral;
laplace operators;
geometry ... See more keywords
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Published in 2018 at "Computational Mathematics and Mathematical Physics"
DOI: 10.1134/s0965542518080183
Abstract: A key difficulty faced when grid-characteristic methods on tetrahedral meshes are used to compute structures of complex geometry is the high computational cost of the problem. Formally, grid-characteristic methods can be used on any tetrahedral…
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Keywords:
grid characteristic;
characteristic methods;
method;
geometry ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10155292
Abstract: High-quality mesh generation is critical in the finite element analysis of displacements and stabilities of geological bodies. In this paper, we propose a clustering-based bubble method for generating high-quality tetrahedral meshes of geological models. The…
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Keywords:
bubble method;
high quality;
method;
tetrahedral meshes ... See more keywords