A New Approach to Vector Field Interpolation, Classification and Robust Critical Points Detection Using Radial Basis Functions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43953674" target="_blank" >RIV/49777513:23520/19:43953674 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-91192-2_12" target="_blank" >http://dx.doi.org/10.1007/978-3-319-91192-2_12</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-91192-2_12" target="_blank" >10.1007/978-3-319-91192-2_12</a>
Alternative languages
Result language
angličtina
Original language name
A New Approach to Vector Field Interpolation, Classification and Robust Critical Points Detection Using Radial Basis Functions
Original language description
Visualization of vector fields plays an important role in many applications. Vector fields can be described by differential equations. For classification null points, i.e. points where derivation is zero, are used. However, if vector field data are given in a discrete form, e.g. by data obtained by simulation or a measurement, finding of critical points is difficult due to huge amount of data to be processed and differential form usually used. This contribution describes a new approach for vector field null points detection and evaluation, which enables data compression and easier fundamental behavior visualization. The approach is based on implicit form representation of vector fields.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA17-05534S" target="_blank" >GA17-05534S: Meshless methods for large scattered spatio-temporal vector data visualization</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Cybernetics and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing
ISBN
978-3-319-91191-5
ISSN
2194-5357
e-ISSN
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Number of pages
7
Pages from-to
109-115
Publisher name
Springer
Place of publication
Cham
Event location
online
Event date
Apr 25, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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