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A practical and fast rendering algorithm for dynamic scenes using adaptive shadow fields

机译:使用自适应阴影场的动态场景实用快速渲染算法

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Recently, a precomputed shadow fields method was proposed for achieving fast rendering of dynamic scenes under environment illumination and local light sources. This method can render shadows fast by precomputing the occlusion information at many sample points arranged on concentric shells around each object and combining multiple precomputed occlusion information rapidly in the rendering step. However, this method uses the same number of sample points on all shells, and cannot achieve realtime rendering due to the rendering computation rely on CPU rather than graphics hardware. In this paper, we propose an algorithm for decreasing the data size of shadow fields by reducing the amount of sample points without degrading the image quality. We reduce the number of sample points adaptively by considering the differences of the occlusion information between adjacent sample points. Additionally, we also achieve fast rendering under low-frequency illuminations by implementing shadow fields on graphics hardware.
机译:最近,提出了一种预计算的阴影场方法,用于在环境照明和局部光源下实现动态场景的快速渲染。通过预先计算在每个对象周围同心壳上排列的许多采样点处的遮挡信息,并在渲染步骤中快速组合多个预先计算的遮挡信息,该方法可以快速渲染阴影。但是,此方法在所有外壳上使用相同数量的采样点,并且由于渲染计算依赖于CPU而不是图形硬件,因此无法实现实时渲染。在本文中,我们提出了一种在不降低图像质量的情况下通过减少采样点数量来减少阴影场数据大小的算法。我们通过考虑相邻样本点之间的遮挡信息差异来自适应地减少样本点的数量。此外,我们还通过在图形硬件上实现阴影场来实现在低频照明下的快速渲染。

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