Yanci Zhang

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In this paper, we propose a novel GPU-friendly algorithm for the Smoothed Particle Hydrodynamics (SPH) simulation for weakly compressible fluids. The major goal of our algorithm is to implement a GPU-based SPH simulation that can simulate and render a large number of particles at interactive speed. Additionally, our algorithm exhibits the following three(More)
In this paper, we propose novel GPU accelerated algorithms for interactive point-based rendering (PBR) and high-quality shading of transparent point surfaces. By introducing the concept of deferred blending we are able to formulate the smooth point interpolation problem as an image compositing post-processing task. Consequently, our new PBR algorithm does(More)
—We present a simple and efficient technique for out-of-core multiresolution construction and high quality visu-alization of large point datasets. The method introduces a novel hierarchical LOD data organization based on multi-way kd-trees that simplifies memory management and allows controlling the LOD tree's height. The technique is incorporated in a full(More)
In this paper, we present a novel framework to simulate the crowd behavior under emergency situations in a confined space with multiple exits. In our work, we take the information asymmetry into consideration, which is used to model the different behaviors presented by pedestrians because of their different knowledge about the environment. We categorize the(More)