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abstract

Online motion synthesis framework using a simple mass model based on predictive coding

Published:26 July 2019Publication History

ABSTRACT

Hybrid-based character animation utilizing the motion capture data and a simplified physics model allows synthesizing the motion data without losing its naturalness of the original motion. However, using both the physical model and the motion data requires professional insights, experiences, and extra efforts such as preprocessing or off-line optimization. To handle the issue, we propose a new type of motion synthesis framework. The proposed framework combines multiple information sources that generate the reference motion based on the motion capture data and physical constraints based on the physical model. To verify the proposed framework, we define a mass-spring model to represent each skeletal joint of a human character model along with a small amount of motion capture data, a human walking motion.

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References

  1. Karl Friston. 2010. The free-energy principle: a unified brain theory? Nature reviews neuroscience 11, 2 (2010), 127.Google ScholarGoogle Scholar
  2. Jaepyung Hwang, Jongmin Kim, Il Hong Suh, and Taesoo Kwon. 2018. Real-time Locomotion Controller using an Inverted-Pendulum-based Abstract Model. In Computer Graphics Forum, Vol. 37. Wiley Online Library, 287--296.Google ScholarGoogle ScholarCross RefCross Ref
  3. Jaepyung Hwang, Kwanguk Kim, Il Hong Suh, and Taesoo Kwon. 2017. Performance-Based Animation Using Constraints for Virtual Object Manipulation. IEEE computer graphics and applications 37, 4 (2017), 95--102.Google ScholarGoogle Scholar
  4. J Hwang, IH Suh, and T Kwon. 2014. Editing and Synthesizing Two-Character Motions using a Coupled Inverted Pendulum Model. In Computer Graphics Forum, Vol. 33. Wiley Online Library, 21--30. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Taesoo Kwon and Jessica K Hodgins. 2017. Momentum-mapped inverted pendulum models for controlling dynamic human motions. ACM Transactions on Graphics (TOG) 36, 1 (2017), 10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Yuting Ye and C Karen Liu. 2010. Optimal feedback control for character animation using an abstract model. In ACM Transactions on Graphics (TOG), Vol. 29. ACM, 74. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Online motion synthesis framework using a simple mass model based on predictive coding

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    • Published in

      cover image ACM Conferences
      SCA '19: Proceedings of the 18th annual ACM SIGGRAPH/Eurographics Symposium on Computer Animation
      July 2019
      83 pages
      ISBN:9781450366779
      DOI:10.1145/3309486

      Copyright © 2019 Owner/Author

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 26 July 2019

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      Overall Acceptance Rate183of487submissions,38%
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