Efficient and realistic cumulus cloud simulation based on similarity approach

Authors:
Be Wang;Jingliang Peng;Youngmin Kwak;C.-C. Jay Kuo
Affiliations:
Department of Electrical Engineering, University of Southern California, Los Angeles, CA;Department of Computer Science, Sun Yat-sen University, Guangzhou, P.R. China;Department of Electrical Engineering, University of Southern California, Los Angeles, CA;Department of Electrical Engineering, University of Southern California, Los Angeles, CA
Venue:
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Year:
2007

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Abstract

Simulation of 3D clouds is an important component in realistic modeling of outdoor scenes. In this paper, we propose a novel physically driven cumulus cloud simulation algorithm based on the similarity approach. By using the similarity approach, the overall cloud characteristics is captured with a set of constant parameters, which in turn enables decoupling of the 3D cloud simulation into the 1D vertical and the 2D horizontal simulations. As a result, the proposed cloud simulation algorithm greatly facilitates computing efficiency, general shape control and wind effect simulation, while yielding realistic visual quality.