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Improving the realism of mixed reality through physical simulation

Published:12 August 2018Publication History

ABSTRACT

We present a new way of adding augmented information based on the computation of the physical equations that truly govern the behavior of objects. In computer graphics, it is common to use big simplifications to be able to solve this type of equations in real time, obtaining in many occasions behaviors that differ remarkably from reality. However, using model order reduction (MOR) techniques we are able to pre-compute a parametric solution that is only evaluated in the visualization stage, greatly reducing the computation time in this on-line phase. We present also several examples that support our method, showing computational fluid dynamics (CFD) examples and deformable solids with nonlinear material behaviors. Since it is a mixed-reality implementation, we decided to create an interactive poster that allows the visualization of augmented reality videos using augmented reality techniques, what we call (AR)2.

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References

  1. Alberto Badías, David González, Iciar Alfaro, Francisco Chinesta, and Elias Cueto. 2017. Local proper generalized decomposition. Internat. J. Numer. Methods Engrg. 112, 12 (2017), 1715--1732.Google ScholarGoogle ScholarCross RefCross Ref
  2. Gal Berkooz, Philip Holmes, and John L Lumley. 1993. The proper orthogonal decomposition in the analysis of turbulent flows. Annual review of fluid mechanics 25, 1 (1993), 539--575.Google ScholarGoogle Scholar
  3. Saifon Chaturantabut and Danny C Sorensen. 2010. Nonlinear model reduction via discrete empirical interpolation. SIAM Journal on Scientific Computing 32, 5 (2010), 2737--2764. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Francisco Chinesta, Pierre Ladeveze, and Elías Cueto. 2011. A short review on model order reduction based on proper generalized decomposition. Archives of Computational Methods in Engineering 18, 4 (2011), 395.Google ScholarGoogle ScholarCross RefCross Ref
  5. Kenneth Levenberg. 1944. A method for the solution of certain non-linear problems in least squares. Quarterly of applied mathematics 2, 2 (1944), 164--168.Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      SIGGRAPH '18: ACM SIGGRAPH 2018 Posters
      August 2018
      148 pages
      ISBN:9781450358170
      DOI:10.1145/3230744

      Copyright © 2018 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 12 August 2018

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