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Controllable Simulation of Particle System

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Advances in Visual Computing (ISVC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6939))

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Abstract

We describe a method to control a motion of particles during physically based simulation. Specifically we design force fields which drive particles so as to shape a human figure. We define attraction, steering and repulsion force fields to achieve a target shape and avoid obstacles. We use key frames of a skeleton of a human figure as a target shape and distribute attraction points over the target shape as a reference to attract the particles. Compared to previous control techniques, our method is fast enough to run in real time and shows a stable behavior of particles not sacrificing plausible simulation. Since our approach is suitable for real time applications, a user can interact with particles or obstacles in a physically satisfiable manner during the simulation.

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Author information

Authors and Affiliations

  1. Imaging Media Research Center, Korea Institute of Science and Technology, Korea

    Muhammad Rusdi Syamsuddin & Jinwook Kim

Authors
  1. Muhammad Rusdi Syamsuddin
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  2. Jinwook Kim
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Editor information

Editors and Affiliations

  1. University of Nevada, 89557, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, 94035, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, 94720, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, 89512, Reno, NV, USA

    Darko Koracin

  5. Department of Computer Science and Engineering, University of South Carolina, 29208, Columbia, SC, USA

    Song Wang

  6. HRL Laboratories, 3011 Malibu Canyon Road, 90265-4797, Malibu, CA, USA

    Kim Kyungnam

  7. Purdue University, West Lafayette, 47907-2021, IN, USA

    Bedrich Benes

  8. Sandia National Laboratory, 87185, Albuquerque, NM, USA

    Kenneth Moreland

  9. University of Louisiana at Lafayette, 70504, LA, USA

    Christoph Borst

  10. Adobe Systems Incorporated, San Francisco, CA, USA

    Stephen DiVerdi

  11. Polytechnic Institute of NYU, 11201, Brooklyn, NY, USA

    Chiang Yi-Jen

  12. Lawrence Livermore National Laboratory, 94551-0808, Livermore, CA, USA

    Jiang Ming

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© 2011 Springer-Verlag Berlin Heidelberg

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Rusdi Syamsuddin, M., Kim, J. (2011). Controllable Simulation of Particle System. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2011. Lecture Notes in Computer Science, vol 6939. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24031-7_71

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  • DOI: https://doi.org/10.1007/978-3-642-24031-7_71

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24030-0

  • Online ISBN: 978-3-642-24031-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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