Large-scale fluid simulation is widely useful in various Virtual Reality (VR) applications. While physics-based fluid animation holds the promise of generating highly realistic fluid details, it often imposes signific...
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ISBN:
(纸本)9798350374025;9798350374032
Large-scale fluid simulation is widely useful in various Virtual Reality (VR) applications. While physics-based fluid animation holds the promise of generating highly realistic fluid details, it often imposes significant computational demands, particularly when simulating high-resolution fluid for VR. In this paper, we propose a novel foveated fluid simulation method that enhances both the visual quality and computational efficiency of physics-based fluid simulation in VR. To leverage the natural foveation feature of human vision, we divide the visible domain of the fluid simulation into foveal, peripheral, and boundary regions. Our foveated fluid system dynamically allocates computational resources, striking a balance between simulation accuracy and computational efficiency. We implement this approach using a multi-scale method. To evaluate the effectiveness of our approach, we have conducted subjective studies. Our findings show a significant reduction in computational resource requirements, resulting in a speedup of up to 2.27 times. It is crucial to note that our method preserves the visual quality of fluid animations at a level that is perceptually identical to full-resolution outcomes. Additionally, we investigate the impact of various metrics, including particle radius and viewing distance, on the visual effects of fluid animations. Our work provides new techniques and evaluations tailored to facilitate real-time foveated fluid simulation in VR, which can enhance the efficiency and realism of fluids in VR applications.
We propose a unified Augmented Reality (AR) based framework that combines the real-time physical multi-material simulation model and the efficient free-hand gesture interaction method. First, we employ a simple Red-Gr...
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ISBN:
(纸本)9798350348392
We propose a unified Augmented Reality (AR) based framework that combines the real-time physical multi-material simulation model and the efficient free-hand gesture interaction method. First, we employ a simple Red-Green-Blue-Depth (RGBD) camera to quickly acquire 3D environmental data to build the static boundary conditions. The real-time gestures are then detached and used as dynamic objects that interact with physicalsimulations. Finally, the calculated lighting parameters are used for real-time rendering and virtual-reality fusion. Our framework enables users to interact with various physicalsimulations in AR scenes, which considerably expands the applications of the fusion of AR and physicalsimulations.
We present FliudPlaying, a novel dynamic level-based spatially adaptive simulation method that can handle highly dynamic fluid efficiently. To capture the subtle detail of the fluid surface, the high-resolution simula...
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ISBN:
(纸本)9798350348392
We present FliudPlaying, a novel dynamic level-based spatially adaptive simulation method that can handle highly dynamic fluid efficiently. To capture the subtle detail of the fluid surface, the high-resolution simulation is performed not only at the free surface but also at those regions with high vorticity levels and velocity difference levels. To minimize the density error, an online optimization scheme is used when increasing the resolution by particle splitting. We also proposed a neighbor-based splash enhancement to compensate for the loss of dynamic details. Compared with the high-resolution simulation baseline, our method can achieve over 3x speedups while consuming only less than 10% computational resources. Furthermore, our method can make up for the loss of high-frequency details caused by the spatial adaptation, and provide more realistic dynamics in particle-based fluid simulation.
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