Article | Proceedings of SIGRAD 2014, Visual Computing, June 12-13, 2014, Göteborg, Sweden | Prediction of physics simulations for graphics and animation
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Title:
Prediction of physics simulations for graphics and animation
Author:
Rob Dupre: Kingston University, UK Vasileios Argyriou: Kingston University, UK
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Full text (pdf)
Year:
2014
Conference:
Proceedings of SIGRAD 2014, Visual Computing, June 12-13, 2014, Göteborg, Sweden
Issue:
106
Article no.:
011
Pages:
83-86
No. of pages:
4
Publication type:
Abstract and Fulltext
Published:
2014-10-30
ISBN:
978-91-7519-212-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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In this paper a novel approach for physics simulation prediction is proposed with applications in graphics rendering and multimedia. A prediction mechanism is introduced based on regression that aims to reduce the computational cost of simulations in a given scene by negating the need to perform physics calculations every frame. Novel features based on the energy of a scene over time are suggested for the training stage. Experiments were performed to evaluate the performance of the proposed prediction system, indicating that in cases where precision is not essential, regression tools can be utilized providing visually similar kinematics.

Proceedings of SIGRAD 2014, Visual Computing, June 12-13, 2014, Göteborg, Sweden

Author:
Rob Dupre, Vasileios Argyriou
Title:
Prediction of physics simulations for graphics and animation
References:

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Proceedings of SIGRAD 2014, Visual Computing, June 12-13, 2014, Göteborg, Sweden

Author:
Rob Dupre, Vasileios Argyriou
Title:
Prediction of physics simulations for graphics and animation
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