From capture to simulation
From capture to simulation
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DOI：
10.1145/2601097.2601147
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发表时间：
2014-07
期刊：
影响因子：
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通讯作者：
J. Gregson;Ivo Ihrke;N. Thürey;W. Heidrich
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文献类型：
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作者：
J. Gregson;Ivo Ihrke;N. Thürey;W. Heidrich
我们探索流体捕获、模拟和近端方法之间的联系，这是一类常用于图像处理和计算机视觉中的逆问题的算法。我们的主要发现是，约束流体速度无发散的近端算子直接等效于不可压缩流动求解器中常用的压力投影方法。这一观察结果使我们能够将流体跟踪的逆问题视为约束流问题，同时在高效的模块化框架中工作。此外，它使我们能够将流体模拟紧密耦合到流量跟踪中，提供全局先验，与以前的技术相比，显着提高跟踪精度和时间相干性。我们演示了如何将这些改进的结果用于各种应用，例如重新仿真、细节增强和域修改。我们还对流体跟踪之外的应用进行了展望，我们的近端算子框架可以通过探索去模糊和流体引导的联系来实现。
We explore the connection between fluid capture, simulation and proximal methods, a class of algorithms commonly used for inverse problems in image processing and computer vision. Our key finding is that the proximal operator constraining fluid velocities to be divergence-free is directly equivalent to the pressure-projection methods commonly used in incompressible flow solvers. This observation lets us treat the inverse problem of fluid tracking as a constrained flow problem all while working in an efficient, modular framework. In addition it lets us tightly couple fluid simulation into flow tracking, providing a global prior that significantly increases tracking accuracy and temporal coherence as compared to previous techniques. We demonstrate how we can use these improved results for a variety of applications, such as re-simulation, detail enhancement, and domain modification. We furthermore give an outlook of the applications beyond fluid tracking that our proximal operator framework could enable by exploring the connection of deblurring and fluid guiding.