A generic model of hyperspace curvature preservation for a dynamic radial basis function implicit surface
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43970422" target="_blank" >RIV/49777513:23520/23:43970422 - isvavai.cz</a>
Výsledek na webu
<a href="http://svk.fav.zcu.cz/download/proceedings_svk_2023.pdf" target="_blank" >http://svk.fav.zcu.cz/download/proceedings_svk_2023.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A generic model of hyperspace curvature preservation for a dynamic radial basis function implicit surface
Popis výsledku v původním jazyce
The primary objective of the proposed methodology is to be implemented in the domain of computerized muscle modelling. However, preserving shape under different deformation scenarios is crucial across numerous research domains. Consequently, this paper briefly exposes the problem in a broader context. Multiple approaches exist to describe the surface, each with inherent strengths and limitations. In this context, the implicit surface utilized for deformation will be characterized using a collection of radial basis functions (RBFs). Although the choice of RBF may vary depending on the specific domain, this paper employs the widely recognized Gaussian RBF. This selection ensures a smooth and infinitely differentiable surface model, which is advantageous for the intended purpose.
Název v anglickém jazyce
A generic model of hyperspace curvature preservation for a dynamic radial basis function implicit surface
Popis výsledku anglicky
The primary objective of the proposed methodology is to be implemented in the domain of computerized muscle modelling. However, preserving shape under different deformation scenarios is crucial across numerous research domains. Consequently, this paper briefly exposes the problem in a broader context. Multiple approaches exist to describe the surface, each with inherent strengths and limitations. In this context, the implicit surface utilized for deformation will be characterized using a collection of radial basis functions (RBFs). Although the choice of RBF may vary depending on the specific domain, this paper employs the widely recognized Gaussian RBF. This selection ensures a smooth and infinitely differentiable surface model, which is advantageous for the intended purpose.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GF23-04622L" target="_blank" >GF23-04622L: Komprese dat založená na vynechání samozřejmé informace - COMPROMISE</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů