基于粒子的融合渲染

K. Koyamada, Naohisa Sakamoto
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引用次数: 0

摘要

在本章中,我们提出了一种融合渲染技术,可以整体处理多个不规则体。虽然对理解由耦合模拟技术(如计算结构力学(CSM)和计算流体动力学(CFD))生成的大规模数据集有很强的要求,但就我们所知,还没有融合的渲染技术。为此,我们可以对每个不规则体数据集采用基于粒子的体绘制(PBVR)技术。由于目前的PBVR技术在深度评估时将不规则单元视为平面足迹,因此直接使用会导致一些伪影,特别是在单元边界处。为了解决这个问题,我们基于不透明度描述概率变量w的累积分布函数(CDF)的假设来计算深度值,w表示从单元格中片段间隔的入口点的长度。在实验中,我们将该方法应用于在同一空间中定义两个不同的不规则网格单元的数值模拟结果,并验证了其在图像质量方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Particle-Based Fused Rendering
In this chapter, we propose a fused rendering technique that can integrally handle multiple irregular volumes. Although there is a strong requirement for understanding large-scale datasets generated from coupled simulation techniques such as computational structure mechanics (CSM) and computational fluid dynamics (CFD), there is no fused rendering technique to the best of our knowledge. For this purpose, we can employ the particle-based volume rendering (PBVR) technique for each irregular volume dataset. Since the current PBVR technique regards an irregular cell as a planar footprint during depth evaluation, the straightforward employment causes some artifacts especially at the cell boundaries. To solve the problem, we calculate the depth value based on the assumption that the opacity describes the cumulative distribution function (CDF) of a probability variable, w, which shows a length from the entry point in the fragment interval in the cell. In our experiments, we applied our method to numerical simulation results in which two different irregular grid cells are defined in the same space and confirmed its effectiveness with respect to the image quality.
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