The Soft Shadow Occlusion Camera

Qi Mo, V. Popescu, Chris Wyman
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引用次数: 32

Abstract

A fundamental challenge for existing shadow map based algorithms is dealing with partially illuminated surfaces. A conventional shadow map built with a pinhole camera only determines a binary light visibility at each point, and this all-or-nothing approach to visibility does not capture penumbral regions. We present an interactive soft shadow algorithm based on a variant of the depth discontinuity occlusion camera, a non-pinhole camera with rays that reach around blockers to sample normally hidden surfaces. Our soft shadow occlusion camera (SSOC) classifies a fragment on a continuum from fully visible to fully hidden, as seen from the light. The SSOC is used directly in fragment illumination computation without building an explicit "soft shadow map." This method renders plausible soft shadows at interactive speeds under fully dynamic conditions.
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软阴影遮挡相机
现有的基于阴影贴图的算法面临的一个基本挑战是如何处理部分光照的表面。用针孔相机制作的传统阴影图只能确定每个点的二元光可见性,这种全有或全无的可见性方法不能捕获半影区域。我们提出了一种基于深度不连续遮挡相机变体的交互式软阴影算法,这是一种非针孔相机,其光线可以到达阻挡物周围以采样通常隐藏的表面。我们的软阴影遮挡相机(SSOC)对连续体上的片段进行分类,从完全可见到完全隐藏,就像从光中看到的那样。SSOC直接用于片段照明计算,而无需构建明确的“软阴影映射”。该方法在完全动态条件下以交互速度呈现可信的软阴影。
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