• DocumentCode
    3185243
  • Title

    A comparative study of physics engines for modeling soft tissue deformation

  • Author

    Silva, Diego F. ; Maciel, Anderson

  • Author_Institution
    Inst. de Inf. (INF), Univ. Fed. do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
  • fYear
    2012
  • fDate
    1-5 Oct. 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Deformation of objects geometry in computer graphics has been based on a number of different approaches. Two classes of methods are highlighted: physics-based and geometry-based. Physics-based methods, such as Mass-Spring Damper, Finite Element Method and Point-Associated Finite Field have been applied to model soft tissue. However, they all have difficulties in handling the compromise between physical realism and performance. Such difficulties can comprehend the complexity in setting physical parameters of the object, large computational cost and high complexity in implementation. This work proposes a case study evaluation on the Mass-Spring Damper model. A set of well known physical engines are analyzed, allowing to understand how the implementation decisions influence performance and accuracy. These results are compared with an implementation especially proposed for this study.
  • Keywords
    biological tissues; biomechanics; finite element analysis; medical computing; physiological models; solid modelling; computer graphics; finite element method; mass-spring damper; object geometry deformation; physics engines; point-associated finite field; soft tissue deformation; Approximation methods; Computational modeling; Damping; Engines; Finite element methods; Mathematical model; Numerical models; deformable body; elasticity; physically based animation; physics engine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatica (CLEI), 2012 XXXVIII Conferencia Latinoamericana En
  • Conference_Location
    Medellin
  • Print_ISBN
    978-1-4673-0794-9
  • Type

    conf

  • DOI
    10.1109/CLEI.2012.6427120
  • Filename
    6427120