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- W2291745961 abstract "Efficient and reliable transparent visualization of large and complex surface data is important in many applications, including the visualization of medical data. Among the many methods, depth-peeling is an efficient solution for rendering polygon meshes transparently; however, the computational cost is related to the number of passes through the peeled geometry. Therefore, the depth-peeling method cannot efficiently render large and complex polygon meshes that require many passes through the geometry. In this paper, we solve this problem using a stochastic point-based rendering (SPBR) method. We use two types of large-scale and complex polygon meshes that have 5,744,376 and 4,800,644 triangles in the experiments. The rendering speed of our method is 3-5 times faster than that of the depth-peeling method for an image resolution of 512 × 512. Additionally, the SPBR method has an inherent visual effect: the outlines of target polygon meshes can be automatically enhanced. This makes the results of the SPBR method more vivid and comprehensible than those of the depth-peeling method." @default.
- W2291745961 created "2016-06-24" @default.
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- W2291745961 date "2015-11-02" @default.
- W2291745961 modified "2023-09-28" @default.
- W2291745961 title "Transparent visualization of large-scale and complex polygon meshes using a stochastic point-based rendering method" @default.
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- W2291745961 doi "https://doi.org/10.1145/2818517.2818528" @default.
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