【SIGGRAPH Asia 2012专题*技术论文】图形绘制：轴对齐的互动采样柔和阴影过滤

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【SIGGRAPH Asia 2012专题*技术论文】
图形绘制：轴对齐的互动采样柔和阴影过滤摘要：我们开发了一个简单而有效的方法，从平面面积光源的光线追踪明确闭塞计算的，根据自适应图像空间滤波的软阴影。由于是基于蒙特卡罗抽样的方法，它是正确的。由于滤波是在图像空间中，它增加了最小的开销，可以进行实时的帧速率。我们取得互动的速度，使用Optix的GPU光线追踪的框架。我们的技术方法源于最近的工作频率分析和剪切pixellight的过滤离线柔和的阴影上。虽然可以大幅度降低抽样计数，剪切的过滤步骤是缓慢的，添加开销分钟。我们开发的理论分析，导出的采样率和过滤器的尺寸，而不是考虑轴对齐的过滤。我们还将显示的样本的数量增加，可以减少过滤器的大小，确保一致的结果。
Abstract：We develop a simple and efficient method for soft shadows from planar area light sources, based on explicit occlusion calculation by raytracing, followed by adaptive image-space filtering. Since the method is based on Monte Carlo sampling, it is accurate. Since the filtering is in image-space, it adds minimal overhead and can be performed at real-time frame rates. We obtain interactive speeds, using the Optix GPU raytracing framework. Our technical approach derives from recent work on frequency analysis and sheared pixellight filtering for offline soft shadows. While sample counts can be reduced dramatically, the sheared filtering step is slow, adding minutes of overhead. We develop the theoretical analysis to instead consider axis-aligned filtering, deriving the sampling rates and filter sizes. We also show how the filter size can be reduced as the number of samples increases, ensuring a consistent result that converges to ground ***th as in standard Monte Carlo rendering.
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