Cumulus Cloud Synthesis with Similarity Solution and Particle/Voxel Modeling

نویسندگان

  • Bei Wang
  • Jingliang Peng
  • C.-C. Jay Kuo
چکیده

A realistic yet simple 3D cloud synthesis method is examined in this work. Our synthesis framework consists of two main components. First, by introducing a similarity approach for physics-based cumulus cloud simulation to reduce the computational complexity, we introduce a particle system for cloud modeling. Second, we adopt a voxel-based scheme to model the water phase transition effect and the cloud fractal structure. It is demonstrated by computer simulation that the proposed synthesis algorithm generates realistic 3D cumulus clouds with high computational efficiency and enables flexible cloud shape control and incorporation of the wind effect . . .

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تاریخ انتشار 2008