Abstract
Clouds play an important role for creating realistic images of outdoor scenes. There are two important factors in synthesizing realistic images, that is, shapes and colors of clouds. Many methods have therefore been proposed for modeling and rendering clouds. One of the promising approaches is to numerically simulate the actual physical phenomena. However, realistic images cannot be generated unless the user chooses appropriate parameters involved in the numerical simulation, which is not an easy task. The shapes and colors of the simulated clouds depend on many parameters and it is generally difficult and time-consuming to adjust those parameters manually. This paper presents an inverse approach to address this problem. For cloud shapes, we present a method for controlling the simulation of cloud formation so that the simulated shapes become similar to those specified by the user. For colors of clouds, a method for automatically adjusting the parameters for computing realistic colors by using user-specified photographs of real clouds is presented.
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References
Bouthors A, Neyret F, Max N, Bruneton E, Crassin C (2008) Interactive multiple anisotropic scattering in clouds. In: Proceedings of ACM symposium on interactive 3D graphics and games, pp 173–182
Cerezo E, Perez F, Pueyo X, Seron FJ, Sillion FX (2005) A survey on participating media rendering techniques. Vis Comput 21(5):303–328
Dobashi Y, Iwasaki W, Ono A, Yamamoto T, Yue Y, Nishita T (2012) An inverse problem approach for automatically adjusting the parameters for rendering clouds using photographs. ACM Trans Graph 31(6):Article 145
Dobashi Y, Kaneda K, Yamashita H, Okita T, Nishita T (2000) A simple, efficient method for realistic animation of clouds. In: Proceedings of ACM SIGGRAPH 2000, pp 19–28
Dobashi Y, Kusumoto K, Nishita T, Yamamoto T (2008) Feedback control of cumuliform cloud formation based on computational fluid dynamics. ACM Trans Graph 27(3):Article 94
Gardner GY (1985) Visual simulation of clouds. Comput Graph (Proc SIGGRAPH 1985) 19(3):297–304
Harris MJ, Lastra A (2001) Real-time cloud rendering. Comput Graph Forum 20(3):76–84
Miyazaki R, Dobashi Y, Nishita T (2002) Simulation of cumuliform clouds based on computational fluid dynamics. In: Proceedings of EUROGRAPHICS 2002 short presentations, pp 405–410, Aug 2002
Nishita T, Dobashi Y, Nakamae E (1996) Display of clouds taking into account multiple anisotropic scattering and sky light. In: Proceedings of ACM SIGGRAPH 1996, pp 379–386
Yue Y, Iwasaki K, Chen B-Y, Dobashi Y, Nishita T (2010) Unbiased, adaptive stochastic sampling for rendering inhomogeneous participating media. ACM Trans Graph 29(6):Article 177
Zhou K, Ren Z, Lin S, Bao H, Guo B, Shum H-Y (2008) Real-time smoke rendering using compensated ray marching. ACM Trans Graphics 27(3):Article 36
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Dobashi, Y. (2014). Inverse Approach for Visual Simulation of Clouds. In: Anjyo, K. (eds) Mathematical Progress in Expressive Image Synthesis I. Mathematics for Industry, vol 4. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55007-5_12
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DOI: https://doi.org/10.1007/978-4-431-55007-5_12
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