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使用自适应网格对闪电进行快速动画制作。

Fast animation of lightning using an adaptive mesh.

作者信息

Kim Theodore, Lin Ming C

机构信息

Department of Computer Science, University of North Carolina, Chapel Hill 27599-3175, USA.

出版信息

IEEE Trans Vis Comput Graph. 2007 Mar-Apr;13(2):390-402. doi: 10.1109/TVCG.2007.38.

Abstract

We present a fast method for simulating, animating, and rendering lightning using adaptive grids. The "dielectric breakdown model" is an elegant algorithm for electrical pattern formation that we extend to enable animation of lightning. The simulation can be slow, particularly in 3D, because it involves solving a large Poisson problem. Losasso et al. recently proposed an octree data structure for simulating water and smoke, and we show that this discretization can be applied to the problem of lightning simulation as well. However, implementing the incomplete Cholesky conjugate gradient (ICCG) solver for this problem can be daunting, so we provide an extensive discussion of implementation issues. ICCG solvers can usually be accelerated using "Eisenstat's trick," but the trick cannot be directly applied to the adaptive case. Fortunately, we show that an "almost incomplete Cholesky" factorization can be computed so that Eisenstat's trick can still be used. We then present a fast rendering method based on convolution that is competitive with Monte Carlo ray tracing but orders of magnitude faster, and we also show how to further improve the visual results using jittering.

摘要

我们提出了一种使用自适应网格来模拟、动画制作和渲染闪电的快速方法。“介电击穿模型”是一种用于电模式形成的优雅算法,我们对其进行了扩展以实现闪电的动画制作。该模拟可能会很慢,尤其是在三维情况下,因为它涉及求解一个大型泊松问题。洛萨索等人最近提出了一种用于模拟水和烟雾的八叉树数据结构,我们表明这种离散化也可应用于闪电模拟问题。然而,为这个问题实现不完全乔列斯基共轭梯度(ICCG)求解器可能具有挑战性,所以我们对实现问题进行了广泛讨论。ICCG求解器通常可以使用“艾森斯塔特技巧”加速,但该技巧不能直接应用于自适应情况。幸运的是,我们表明可以计算出一种“几乎不完全乔列斯基”分解,以便仍然可以使用艾森斯塔特技巧。然后我们提出了一种基于卷积的快速渲染方法,它与蒙特卡罗光线追踪具有竞争力,但速度要快几个数量级,并且我们还展示了如何使用抖动进一步改善视觉效果。

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