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Title:A novel radial basis function description of a smooth implicit surface for musculoskeletal modelling
Authors:ID Cervenka, Martin (Author)
ID Kohout, Josef (Author)
ID Lipuš, Bogdan (Author)
Files:.pdf infor571.pdf (1,94 MB)
MD5: B089007387EB31228FFF2FFBB4FE874C
 
URL https://informatica.vu.lt/journal/INFORMATICA/article/1352/info
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:As musculoskeletal illnesses continue to increase, practical computerised muscle modelling is crucial. This paper addresses this concern by proposing a mathematical model for a dynamic 3D geometrical surface representation of muscles using a Radial Basis Function (RBF) approximation technique. The objective is to obtain a smoother surface while minimising data use, contrasting it from classical polygonal (e.g. triangular) surface mesh models or volumetric (e.g. tetrahedral) mesh models. The paper uses RBF implicit surface description to describe static surface generation and dynamic surface deformations based on its spatial curvature preservation during the deformation. The novel method is tested on multiple data sets, and the experiments show promising results according to the introduced metrics.
Keywords:radial basis function, muscle model, gradient decsent, curvature, mean curvature, Gaussian RBF
Publication status:Published
Publication version:Version of Record
Submitted for review:01.06.2024
Article acceptance date:01.09.2024
Publication date:16.10.2024
Publisher:Vilnius University, Institute of Data Science and Digital Technologies
Year of publishing:2024
Number of pages:str. 721-750
Numbering:Vol. 35, iss. 4
PID:20.500.12556/DKUM-92272 New window
UDC:004.9
ISSN on article:0868-4952
COBISS.SI-ID:230334467 New window
DOI:10.15388/24-INFOR571 New window
Copyright:© 2024 Vilnius University
Publication date in DKUM:26.03.2025
Views:130
Downloads:11
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Informatica
Shortened title:Inf.
Publisher:Vilnius University, Institute of Data Science and Digital Technologies
ISSN:0868-4952
COBISS.SI-ID:1998381 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J2-4458-2022
Name:Paradigma stiskanja podatkov z odstranjevanjem obnovljivih informacij

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0041-2020
Name:Računalniški sistemi, metodologije in inteligentne storitve

Funder:the Ministry of Education, Youth and Sports of the Czech Republic
Project number:SGS-2022-015

Funder:the Czech Science Foundation
Project number:23-04622L

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:radialna snovna funkcija, mišični modeli, ukrivljenost, povprečna ukrivljenost


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