Resolution Scaling for Mass Spring Model Simulations

Maciej KOT; Hiroshi NAGAHASHI; Krzysztof GRACKI

doi:10.1587/transinf.E97.D.2138

Resolution Scaling for Mass Spring Model Simulations

Maciej KOT, Hiroshi NAGAHASHI, Krzysztof GRACKI

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Summary :

The volumetric representations of deformable objects suffer from high memory and computational costs. In this work we analyze an approach of constructing low-resolution mass spring models (MSMs) on the basis of a high-resolution reference MSM. Preserving the physical properties of the modeled objects is emphasized such that their motion is consistent and independent of the spring network resolution. We varied the node merging algorithm and analyzed how various aspects of the simplification process affected the properties of the model and how these properties translated into visual behavior in a simulation.

Publication: IEICE TRANSACTIONS on Information Vol.E97-D No.8 pp.2138-2146

Publication Date: 2014/08/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1587/transinf.E97.D.2138

Type of Manuscript: PAPER

Category: Computer Graphics

Authors

Maciej KOT
  Tokyo Institute of Technology
Hiroshi NAGAHASHI
  Tokyo Institute of Technology
Krzysztof GRACKI
  Warsaw University of Technology

Keyword

level of detail, mass spring model, soft body deformation

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Maciej KOT, Hiroshi NAGAHASHI, Krzysztof GRACKI, "Resolution Scaling for Mass Spring Model Simulations" in IEICE TRANSACTIONS on Information, vol. E97-D, no. 8, pp. 2138-2146, August 2014, doi: 10.1587/transinf.E97.D.2138.
Abstract: The volumetric representations of deformable objects suffer from high memory and computational costs. In this work we analyze an approach of constructing low-resolution mass spring models (MSMs) on the basis of a high-resolution reference MSM. Preserving the physical properties of the modeled objects is emphasized such that their motion is consistent and independent of the spring network resolution. We varied the node merging algorithm and analyzed how various aspects of the simplification process affected the properties of the model and how these properties translated into visual behavior in a simulation.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E97.D.2138/_p

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@ARTICLE{e97-d_8_2138,
author={Maciej KOT, Hiroshi NAGAHASHI, Krzysztof GRACKI, },
journal={IEICE TRANSACTIONS on Information},
title={Resolution Scaling for Mass Spring Model Simulations},
year={2014},
volume={E97-D},
number={8},
pages={2138-2146},
abstract={The volumetric representations of deformable objects suffer from high memory and computational costs. In this work we analyze an approach of constructing low-resolution mass spring models (MSMs) on the basis of a high-resolution reference MSM. Preserving the physical properties of the modeled objects is emphasized such that their motion is consistent and independent of the spring network resolution. We varied the node merging algorithm and analyzed how various aspects of the simplification process affected the properties of the model and how these properties translated into visual behavior in a simulation.},
keywords={},
doi={10.1587/transinf.E97.D.2138},
ISSN={1745-1361},
month={August},}

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TY - JOUR
TI - Resolution Scaling for Mass Spring Model Simulations
T2 - IEICE TRANSACTIONS on Information
SP - 2138
EP - 2146
AU - Maciej KOT
AU - Hiroshi NAGAHASHI
AU - Krzysztof GRACKI
PY - 2014
DO - 10.1587/transinf.E97.D.2138
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2014
AB - The volumetric representations of deformable objects suffer from high memory and computational costs. In this work we analyze an approach of constructing low-resolution mass spring models (MSMs) on the basis of a high-resolution reference MSM. Preserving the physical properties of the modeled objects is emphasized such that their motion is consistent and independent of the spring network resolution. We varied the node merging algorithm and analyzed how various aspects of the simplification process affected the properties of the model and how these properties translated into visual behavior in a simulation.
ER -