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Fast raycasting using a compound deep image for virtual point light range determination
Computational Visual Media ( IF 17.3 ) Pub Date : 2019-05-24 , DOI: 10.1007/s41095-019-0144-1
Jesse Archer , Geoff Leach , Pyarelal Knowles

The concept of using multiple deep images, under a variety of different names, has been explored as a possible acceleration approach for finding ray-geometry intersections. We leverage recent advances in deep image processing from order independent transparency for fast building of a compound deep image (CDI) using a coherent memory format well suited for raycasting. We explore the use of a CDI and raycasting for the problem of determining distance between virtual point lights (VPLs) and geometry for indirect lighting, with the key raycasting step being a small fraction of total frametime.

中文翻译:

使用复合深层图像进行快速射线广播,以确定虚拟点光源范围

已经探索了使用多种不同名称的多个深度图像的概念,作为寻找射线几何交点的一种可能的加速方法。我们利用顺序独立透明性在深度图像处理方面的最新进展,利用适合于光线投射的相干内存格式快速构建复合深度图像CDI)。我们探讨了使用CDI和射线投射来确定虚拟点光源(VPL)和间接照明的几何形状之间的距离的问题,其中关键的射线投射步骤仅占总帧时间的一小部分。
更新日期:2019-05-24
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