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Deformation simulation based on model reduction with rigidity sampling

Published:27 November 2017Publication History

ABSTRACT

In computer graphics, model reduction method, which utilizes a low-dimensional subspace to approximate the original high-dimensional deformation space, can simulate deformation well in force-free conditions. However, when external forces are applied to simulated objects, noticeable differences between force-free modal analysis [Barbič and James 2005] and full-scale FEM simulation can be observed (Figure 1). To address this problem, we introduce a data-driven approach that obtains a low-dimensional subspace from pre-computed deformation snapshots by FEM simulation with external forces applied to different parts of an object. In order to significantly reduce pre-computation time without sacrificing deformation quality at run-time, we propose rigidity guided sampling to efficiently select force points for FEM simulation. Our key observation is that the rigidity field of a force point [Au et al. 2007] is related to the potential deformation of an object. By clustering candidate force points according to the similarities of their rigidity fields, we can obtain representative force points that well capture the structural dynamics of an object. As the subspace constructed from these specifically chosen force sample points is more efficient and compact, our results show improved accuracy compared to the results of using only the modal derivative bases [Barbič and James 2005]. Furthermore, faster and more accurate deformations under external forces show great potential in real-time deformation simulation, such as virtual reality surgical simulators and trainers.

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References

  1. Oscar Kin-Chung Au, Hongbo Fu, Chiew-Lan Tai, and Daniel Cohen-Or. 2007. Handle-aware Isolines for Scalable Shape Editing. In SIGGRAPH 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Jernej Barbič and Doug L. James. 2005. Real-Time Subspace Integration for St. Venant-Kirchhoff Deformable Models. In SIGGRAPH 2005. 982--990. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Jernej Barbič. 2009. Computer graphics research code, http://www.jernejbarbic.com/code. (2009).Google ScholarGoogle Scholar

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  1. Deformation simulation based on model reduction with rigidity sampling

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    • Published in

      cover image ACM Conferences
      SA '17: SIGGRAPH Asia 2017 Posters
      November 2017
      114 pages
      ISBN:9781450354059
      DOI:10.1145/3145690

      Copyright © 2017 Owner/Author

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 November 2017

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      Overall Acceptance Rate178of869submissions,20%
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