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Authors: Masanori Sotozaki 1 ; Yoshinori Dobashi 2 and Tsuyoshi Yamamoto 1

Affiliations: 1 Hokkaido University, Japan ; 2 Hokkaido University and JST CREST, Japan

ISBN: 978-989-758-175-5

Keyword(s): Particle-based Simulation, Endless Animation, Water, Natural phenomena, River.

Related Ontology Subjects/Areas/Topics: Animation and Simulation ; Animation of Particle Systems ; Computer Vision, Visualization and Computer Graphics ; Physics-Based Animation

Abstract: In this paper, we propose an efficient method for synthesizing water animation such as waterfall or rivers using particle-based simulation. Recently, physically based simulation has become a popular technique to create realistic animation of natural phenomena in many applications, e.g. commercial films, movies and games. Particularly, there is a growing demand on synthesizing realistic animation of fluids, such as water. However, realistic fluid animation requires a high computational cost. Some applications requiring real time performances, such as games, cannot afford such a high computational cost. In this paper, we propose an efficient method for creating endless animations of water flow using particle data generated by fluid simulation. We store a set of dynamic particles in a database and use them repeatedly to produce endless animations.

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Paper citation in several formats:
Sotozaki, M.; Dobashi, Y. and Yamamoto, T. (2016). Creating Endless Water Flow Animation using Particle Data.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 236-241. DOI: 10.5220/0005746602340239

@conference{grapp16,
author={Masanori Sotozaki. and Yoshinori Dobashi. and Tsuyoshi Yamamoto.},
title={Creating Endless Water Flow Animation using Particle Data},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2016)},
year={2016},
pages={236-241},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005746602340239},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2016)
TI - Creating Endless Water Flow Animation using Particle Data
SN - 978-989-758-175-5
AU - Sotozaki, M.
AU - Dobashi, Y.
AU - Yamamoto, T.
PY - 2016
SP - 236
EP - 241
DO - 10.5220/0005746602340239

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