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Pixel-selected ray tracing

机译：像素选择的光线跟踪

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An acceleration method based on an idea that T. Whitted (Commun. ACM, vol.23, no.6 pp.343-349, June 1980) presented on ray tracing is discussed. He proposed making antialiased images by hierarchical adaptive oversampling. The present authors use hierarchical adaptive undersampling to reduce the number of pixels whose intensity must be calculated by ray tracing. To implement pixel-selected ray tracing (PSRT), homogeneous regions in images must first be found. Generally, adaptive undersampling can result in some image-quality defects, because small objects and parts of thin or wedge-shaped objects may disappear when they are located between the initially sampled pixels. PSRT has an improved algorithm that uses pixels with the correct object information from among the sampled pixels to find pixels with erroneous color and correct them. Moreover, PRST uses ray-object intersection trees for precise classification of the homogeneity of regions and for fast intensity calculation in homogeneous regions. Experimental results are presented. They show that PSRT is two to nine times faster than standard ray tracing.
机译：讨论了一种基于T. Whitted（Commun。ACM，第23卷，第6期，第343-349页，1980年6月）提出的想法，该方法涉及射线追踪。他提议通过分层自适应过采样制作抗锯齿图像。本作者使用分层自适应欠采样来减少必须通过射线跟踪计算其强度的像素数量。要实现像素选择的光线跟踪（PSRT），必须首先找到图像中的同质区域。通常，自适应欠采样会导致某些图像质量缺陷，因为当小的对象以及稀薄或楔形对象的一部分位于初始采样的像素之间时，它们可能会消失。 PSRT有一种改进的算法，该算法使用采样像素中具有正确对象信息的像素来查找颜色错误的像素并进行校正。此外，PRST使用射线对象相交树对区域的均匀性进行精确分类，并在均匀区域中进行快速强度计算。给出实验结果。他们表明PSRT比标准射线追踪快2至9倍。

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