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Improvement of particle-based volume rendering for visualizing irregular volume data sets

机译:改进了基于粒子的体绘制以可视化不规则体数据集

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摘要

We present a technique for previewing large-scale irregular volume datasets using an improved particle-based volume rendering (PBVR) technique. Volume rendering of irregular grid volume data is considerably more complicated than that of regular grid data, since the sampling and compositing processes, which must be done in visibility order, are not straightforward. In our original PBVR, rendering involves generating and projecting sub-pixel-size, opaque, and emissive particles without visibility ordering. To make it easier to preview large-scale irregular volume datasets, we improve our original PBVR technique in two respects. The first is that we exploit its scalability to develop a cell-by-cell particle generation technique. The second is that we reduce the memory cost of the frame buffer using a pixel-by-pixel superimposing technique. To measure the effectiveness of our proposed method, we apply it to huge irregular volume datasets composed of 71 mega hexahedral cells or 1 giga tetrahedral cells.
机译:我们提出了一种使用改进的基于粒子的体积渲染(PBVR)技术预览大规模不规则体积数据集的技术。不规则网格体数据的体绘制比常规网格数据的体绘制要复杂得多,因为必须以可见性顺序完成的采样和合成过程并不简单。在我们最初的PBVR中,渲染涉及生成和投影亚像素大小,不透明和发光的粒子,而无需进行可见性排序。为了更容易预览大型不规则体积数据集,我们从两个方面改进了原始的PBVR技术。首先是我们利用其可扩展性来开发逐个单元的粒子生成技术。第二个是我们使用逐像素叠加技术降低了帧缓冲区的存储成本。为了衡量我们提出的方法的有效性,我们将其应用于由71个巨型六面体细胞或1个千兆四面体细胞组成的庞大的不规则体积数据集。

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