Antialiased ray tracing by adaptive progressive refinement

J. Painter, K. Sloan
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引用次数: 199

Abstract

We describe an antialiasing system for ray tracing based on adaptive progressive refinement. The goals of the system are to produce high quality antialiased images at a modest average sample rate, and to refine the image progressively so that the image is available in a usable form early and is refined gradually toward the final result.The method proceeds by adaptive stochastic sampling of the image plane, evaluation of the samples by ray tracing, and image reconstruction from the samples. Adaptive control of the sample generation process is driven by three basic goals: coverage of the image, location of features, and confidence in the values at a distinguished "pixel level" of resolution.A three-stage process of interpolation, filtering, and resampling is used to reconstruct a regular grid of display pixels. This reconstruction can be either batch or incremental.
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自适应渐进细化的抗锯齿光线跟踪
描述了一种基于自适应渐进细化的光线跟踪抗混叠系统。该系统的目标是以适度的平均采样率产生高质量的抗混叠图像,并逐步细化图像,以便图像在早期以可用的形式可用,并逐步细化到最终结果。该方法首先对图像平面进行自适应随机采样,通过射线追踪对样本进行评估,然后对样本进行图像重建。样本生成过程的自适应控制由三个基本目标驱动:图像的覆盖范围、特征的位置和对分辨率的“像素级”值的置信度。一个三个阶段的过程插值,滤波和重采样是用来重建一个规则的网格的显示像素。这种重构可以是批处理的,也可以是增量的。
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