GMRV Publications

Modeling and Estimation of Energy-Based Hyperelastic Objects

Eder Miguel, David Miraut, Miguel A. Otaduy
Computer Graphics Forum (Proc. of Eurographics), Volume 35, Number 2 - 2016
Download the publication : eg16-final.pdf [28.7Mo]  
In this paper, we present a method to model hyperelasticity that is well suited for representing the nonlinearity of real-world objects, as well as for estimating it from deformation examples. Previous approaches suffer several limitations, such as lack of integrability of elastic forces, failure to enforce energy convexity, lack of robustness of parameter estimation, or difficulty to model cross-modal effects. Our method avoids these problems by relying on a general energy-based definition of elastic properties. The accuracy of the resulting elastic model is maximized by defining an additive model of separable energy terms, which allow progressive parameter estimation. In addition, our method supports efficient modeling of extreme nonlinearities thanks to energy-limiting constraints. We combine our energy-based model with an optimization method to estimate model parameters from force-deformation examples, and we show successful modeling of diverse deformable objects, including cloth, human finger skin, and internal human anatomy in a medical imaging application.

Images and movies

additive_energy.png [263Ko]
EG16-final.mp4 [108.2Mo]

BibTex references

  author       = "Miguel, Eder and Miraut, David and Otaduy, Miguel A.",
  title        = "Modeling and Estimation of Energy-Based Hyperelastic Objects",
  journal      = "Computer Graphics Forum (Proc. of Eurographics)",
  number       = "2",
  volume       = "35",
  year         = "2016",
  url          = ""

Other publications in the database

» Eder Miguel
» David Miraut
» Miguel A. Otaduy