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The exploitation of image construction data and temporal/image coherence in ray traced animation.

机译:光线追踪动画中图像构造数据和时间/图像相干性的利用。

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摘要

The similarity in successive images generated for computer graphic animated sequences is a source of great possibilities for accelerating rendering time by avoiding seemingly redundant calculations. There is a wealth of information that a renderer calculates or accesses in the course of creating an image that can be used to aid the creation of future frames. Previous solutions either incurred visibility errors or used methods to guarantee the accuracy of images that could be prohibitively time consuming.; This dissertation proposes an elegant and fast method that speeds the calculation of ray traced animated scenes constructed of convex objects by a combination of temporal and image coherence. The algorithm reuses rays calculated from previous frames by transforming them to their new locations and updating their color from their shading and material properties.; The solution presented guarantees the accuracy of the visibility and shading of reused samples while minimizing calculation time. The method works with any existing bounding volume acceleration method and is compatible with jittered anti-aliasing schemes. It handles reflections and refractions and does not depend upon any part of the scene remaining static. It does assume the existence of some continuity in motion, which is usually found in animated sequences, but it will gracefully degrade to standard ray tracing for scenes with pathological animation design.
机译:通过避免看似多余的计算,为计算机图形动画序列生成的连续图像中的相似性为加快渲染时间提供了极大的可能性。渲染器在创建图像的过程中会计算或访问大量信息,这些信息可用于帮助创建未来的帧。先前的解决方案会导致可见性错误或使用过的方法来保证图像的准确性,这可能会非常耗时。本文提出了一种优雅而又快速的方法,该方法通过结合时间和图像相干性来加快由凸对象构成的光线跟踪动画场景的计算。该算法通过将先前帧计算出的光线转换到新位置并从其阴影和材质属性更新其颜色来重用它们。提出的解决方案保证了重用样本的可见性和阴影准确性,同时最大程度地减少了计算时间。该方法可与任何现有的边界体积加速方法一起使用,并且与抖动的抗混叠方案兼容。它处理反射和折射,并且不依赖于场景的任何部分保持静态。它确实假定了运动中存在某种连续性,通常在动画序列中可以找到这种连续性,但是对于带有病理性动画设计的场景,它将很好地降级为标准射线跟踪。

著录项

  • 作者

    Marshall, Dana Thomas.;

  • 作者单位

    The University of Texas at Austin.;

  • 授予单位 The University of Texas at Austin.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 120 p.
  • 总页数 120
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

  • 入库时间 2022-08-17 11:47:00

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