Pixel-selected ray tracing
Pixel-selected ray tracing
复制标题
像素选择光线追踪
DOI：
10.1109/38.126876
复制
发表时间：
1991
影响因子：
1.8
通讯作者：
Y. Suenaga
中科院分区：
文献类型：
--
作者：
T. Akimoto;K. Mase;Y. Suenaga
基于T.怀特德（Commun. ACM，第23卷，第6期，第343 -349页，1980年6月）提出的射线跟踪进行了讨论。他建议通过分层自适应过采样来制作抗锯齿图像。本文作者使用分层自适应欠采样来减少必须通过光线跟踪计算其强度的像素的数量。要实现像素选择光线跟踪（PSRT），首先要找到图像中的均匀区域，通常情况下，自适应欠采样会导致图像质量缺陷，因为小的物体和部分薄的或楔形的物体可能会在最初采样的像素之间消失。PSRT具有改进的算法，该算法使用采样像素中具有正确对象信息的像素来查找具有错误颜色的像素并对其进行校正。此外，PRST使用射线-对象相交树来精确分类区域的均匀性并快速计算均匀区域的强度。给出了实验结果。PSRT比标准射线追踪快2到9倍。>
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. >