A new computational way to Monte Carlo global illumination

被引：0

作者：

Xu, Q ^{[1
]}

Liu, CH ^{[1
]}

Zhang, S ^{[1
]}

机构：

[1] Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China

来源：

FOURTH INTERNATIONAL CONFERENCE ON VIRTUAL REALITY AND ITS APPLICATIONS IN INDUSTRY | 2004年 / 5444卷

关键词：

global illumination; Monte Carlo; random walk; importance sampling;

D O I：

10.1117/12.561124

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a new Monte Carlo computational way for solving global illumination problem. In this way, plenty of unbiased estimators can be employed to enrich the solutions so as to lead to simple error control and to speed up the estimation. The implementation of a so-called potential tracing algorithm on the basis of the new scheme has been carried out. Results, which have been obtained by rendering test scenes, show that this new framework is promising.

引用

页码：54 / 59

页数：6

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