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Real-Time Marker Level Set on GPU

机译:在GPU上设置实时标记级别

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Level set methods have been extensively used to track the dynamical interfaces between different materials for physically based simulation, geometry modeling, oceanic modeling and other scientific and engineering applications. Due to the inherent Eulerian characteristics, interface evolution based on level set usually suffers from numerical diffusion, sharp feature missing and mass loss. Although some effective methods such as Particle Level Set (PLS) and Marker Level Set (MLS) have been proposed to tackle these difficulties, the complicated correction process and the high computational cost pose severe limitations for real-time applications. In this paper we provide an efficient parallel implementation of the Marker Level Set method on latest graphics hardware. Each step of the MLS method is fully mapped on GPU with an innovative combination of different computation techniques. Relying on GPU's parallelism and flexible programmability, the method provides real-time performance for large size 2D examples and moderate 3D examples, which is significantly faster than previous CPU-based methods.
机译:水平集方法已广泛用于跟踪不同材料之间的动力学界面,以进行基于物理的模拟,几何建模,海洋建模以及其他科学和工程应用。由于固有的欧拉特性,基于水平集的界面演化通常遭受数值扩散,尖锐特征缺失和质量损失的困扰。尽管已经提出了一些有效的方法,例如粒子水平集(PLS)和标记水平集(MLS)来解决这些困难,但是复杂的校正过程和高计算成本对实时应用提出了严重的限制。在本文中,我们在最新的图形硬件上提供了Marker Level Set方法的高效并行实现。通过将不同计算技术的创新组合,MLS方法的每个步骤都完全映射到GPU上。依靠GPU的并行性和灵活的可编程性,该方法可为大型2D实例和中等3D实例提供实时性能,这比以前的基于CPU的方法要快得多。

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