Capture and modeling of non-linear heterogeneous soft tissue

  • Authors:
  • Bernd Bickel;Moritz Bächer;Miguel A. Otaduy;Wojciech Matusik;Hanspeter Pfister;Markus Gross

  • Affiliations:
  • ETH Zurich;Harvard University;URJC Madrid;Adobe Systems, Inc.;Harvard University;ETH Zurich

  • Venue:
  • ACM SIGGRAPH 2009 papers
  • Year:
  • 2009

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Abstract

This paper introduces a data-driven representation and modeling technique for simulating non-linear heterogeneous soft tissue. It simplifies the construction of convincing deformable models by avoiding complex selection and tuning of physical material parameters, yet retaining the richness of non-linear heterogeneous behavior. We acquire a set of example deformations of a real object, and represent each of them as a spatially varying stress-strain relationship in a finite-element model. We then model the material by non-linear interpolation of these stress-strain relationships in strain-space. Our method relies on a simple-to-build capture system and an efficient run-time simulation algorithm based on incremental loading, making it suitable for interactive computer graphics applications. We present the results of our approach for several non-linear materials and biological soft tissue, with accurate agreement of our model to the measured data.