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Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F13%3A43918225%21RIV14-MSM-23520___
rdf:type
skos:Concept n12:Vysledek
dcterms:description
In this paper we present an interpolation method that was derived from the muscle deformation algorithm computed on the gradient domain deformation technique. The method uses linear constraints to preserve the local shape of the muscle and the non-linear volume constraints to preserve the volume of the mesh. The Gauss-Newton method with Lagrange multipliers is used as the main computation algorithm and the interpolation approach serves especially to smooth up deformation steps. Thanks to the interpolation of main bones movement positions by several temporally interpositions, the large distances are optimized and the muscles of the musculoskeletal model are deformed in a more realistic way. The method was implemented in C++ language, using VTK framework and was integrated into the human body framework. Despite the fact that the current implementation is not optimised, all muscles tested were processed in a few minutes on commodity hardware, which is much faster in comparison with the traditional FEM approaches. In this paper we present an interpolation method that was derived from the muscle deformation algorithm computed on the gradient domain deformation technique. The method uses linear constraints to preserve the local shape of the muscle and the non-linear volume constraints to preserve the volume of the mesh. The Gauss-Newton method with Lagrange multipliers is used as the main computation algorithm and the interpolation approach serves especially to smooth up deformation steps. Thanks to the interpolation of main bones movement positions by several temporally interpositions, the large distances are optimized and the muscles of the musculoskeletal model are deformed in a more realistic way. The method was implemented in C++ language, using VTK framework and was integrated into the human body framework. Despite the fact that the current implementation is not optimised, all muscles tested were processed in a few minutes on commodity hardware, which is much faster in comparison with the traditional FEM approaches.
dcterms:title
Musculoskeletal System Modelling Musculoskeletal System Modelling
skos:prefLabel
Musculoskeletal System Modelling Musculoskeletal System Modelling
skos:notation
RIV/49777513:23520/13:43918225!RIV14-MSM-23520___
n12:predkladatel
n19:orjk%3A23520
n3:aktivita
n21:R
n3:aktivity
R
n3:dodaniDat
n20:2014
n3:domaciTvurceVysledku
n4:2535092 n4:9374094
n3:druhVysledku
n17:D
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
90216
n3:idVysledku
RIV/49777513:23520/13:43918225
n3:jazykVysledku
n15:eng
n3:klicovaSlova
mesh skinning; action line; musculoskeletal model; interpolation; muscle modelling; deformation
n3:klicoveSlovo
n6:mesh%20skinning n6:action%20line n6:deformation n6:musculoskeletal%20model n6:interpolation n6:muscle%20modelling
n3:kontrolniKodProRIV
[6BD402BA9680]
n3:mistoKonaniAkce
Barcelona
n3:mistoVydani
Setúbal
n3:nazevZdroje
GRAPP 2013
n3:obor
n18:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n20:2013
n3:tvurceVysledku
Kohout, Josef Hájková, Jana
n3:typAkce
n7:WRD
n3:zahajeniAkce
2013-02-21+01:00
s:numberOfPages
6
n14:hasPublisher
SciTePress
n10:isbn
978-989-8565-46-4
n9:organizacniJednotka
23520