A New Radial Basis Function Approximation with Reproduction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43928980" target="_blank" >RIV/49777513:23520/16:43928980 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A New Radial Basis Function Approximation with Reproduction
Original language description
Approximation of scattered geometric data is often a task in many engineering problems. The Radial Basis Function (RBF) approximation is appropriate for large scattered (unordered) datasets in d dimensional space. This method is useful for a higher dimension d GREATER-THAN OR EQUAL TO 2, because the other methods require a conversion of a scattered dataset to a semi-regular mesh using some tessellation techniques, which is computationally expensive. The RBF approximation is non-separable, as it is based on a distance of two points. It leads to a solution of overdetermined Linear System of Equations (LSE). In this paper a new RBF approximation method is derived and presented. The presented approach is applicable for d dimensional cases in general.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LH12181" target="_blank" >LH12181: Development of Algorithms for Computer Graphics and CAD/CAM systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Conferences on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016
ISBN
978-989-8533-52-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
215-222
Publisher name
IADIS Press
Place of publication
Madiera
Event location
Madeira
Event date
Jul 1, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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