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Variance Analysis and Adaptive Sampling for Indirect Light Path Reuse
  • ISSN号:1000-9000
  • 期刊名称:《计算机科学技术学报:英文版》
  • 分类:TP391.72[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术] TU113.667[建筑科学—建筑理论]
  • 作者机构:[1]State Key Laboratory of Computer Aided Design and Computer Graphics, Zhejiang University, Hangzhou 310058, China, [2]Microsoft Research Asia, Beijing 100080, China
  • 相关基金:This work was supported in part by the National Natural Science Foundation of China under Grant Nos. 61472352, 61379070, and 61272305, and the National High Technology Research and Development 863 Program of China under Grant No. 2012AA010903.
中文摘要:

在这份报纸,我们基于间接轻路径复用学习一套全球照明算法的评价变化。这些算法通常在第一张通行证包含二张通行证,间接轻样品的一个小数字被产生并且评估,并且他们然后被很多重建样品在第二张通行证再使用。我们的分析证明重建样品的协变性在高重建率下面统治评价变化并且增加重建率不能有效地减少协变性。我们也发现协变性代表到到什么度,间接轻样品在重建期间被再使用。这分析激发我们设计启发式的接近协变性以及一个适应采样计划基于这对还原剂启发式显示的变化。我们为间接点亮在间接的轻地重建算法和排列轴的过滤算法验证我们的分析和适应采样计划。实验根据我们显示人工制品能极大地以类似的计算成本被减少的分析和表演。

英文摘要:

In this paper, we study the estimation variance of a set of global illumination algorithms based on indirect light path reuse. These algorithms usually contain two passes -- in the first pass, a small number of indirect light samples are generated and evaluated, and they are then reused by a large number of reconstruction samples in the second pass. Our analysis shows that the covariance of the reconstruction samples dominates the estimation variance under high reconstruction rates and increasing the reconstruction rate cannot effectively reduce the covariance. We also find that the covariance represents to what degree the indirect light samples are reused during reconstruction. This analysis motivates us to design a heuristic approximating the covariance as well as an adaptive sampling scheme based on this heuristic to reduce the rendering variance. We validate our analysis and adaptive sampling scheme in the indirect light field reconstruction algorithm and the axis-aligned filtering algorithm for indirect lighting. Experiments are in accordance with our analysis and show that rendering artifacts can be greatly reduced at a similar computational cost.

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期刊信息
  • 《计算机科学技术学报:英文版》
  • 中国科技核心期刊
  • 主管单位:
  • 主办单位:中国科学院计算机技术研究所
  • 主编:
  • 地址:北京2704信箱
  • 邮编:100080
  • 邮箱:jcst@ict.ac.cn
  • 电话:010-62610746 64017032
  • 国际标准刊号:ISSN:1000-9000
  • 国内统一刊号:ISSN:11-2296/TP
  • 邮发代号:2-578
  • 获奖情况:
  • 国内外数据库收录:
  • 被引量:505