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
收藏
页码：54 / 59
页数：6
相关论文
共 50 条
  • [1] A NEW COMPUTATIONAL WAY TO MONTE CARLO GLOBAL ILLUMINATION
    Xu, Qing
    Wang, Wei
    Bao, Shiqiang
    INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2006, 6 (01) : 23 - 34
  • [2] A new adaptive sampling technique for Monte Carlo global illumination
    Xu, Qing
    Sbert, Mateu
    Feixas, Miquel
    Sun, Jizhou
    PROCEEDINGS OF 2007 10TH IEEE INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN AND COMPUTER GRAPHICS, 2007, : 191 - +
  • [3] A Bayesian Monte Carlo Approach to Global Illumination
    Brouillat, Jonathan
    Bouville, Christian
    Loos, Brad
    Hansen, Charles
    Bouatouch, Kadi
    COMPUTER GRAPHICS FORUM, 2009, 28 (08) : 2315 - 2329
  • [4] Alternative Monte Carlo Approach for General Global Illumination
    徐庆
    李朋
    徐源
    孙济洲
    TransactionsofTianjinUniversity, 2004, (04) : 275 - 279
  • [5] Mixing Monte Carlo and progressive rendering for improved global illumination
    Doidge, Ian C.
    Jones, Markw.
    Mora, Benjamin
    VISUAL COMPUTER, 2012, 28 (6-8): : 603 - 612
  • [6] Mixing Monte Carlo and progressive rendering for improved global illumination
    Ian C. Doidge
    Mark W. Jones
    Benjamin Mora
    The Visual Computer, 2012, 28 : 603 - 612
  • [7] A Hierarchical Automatic Stopping Condition for Monte Carlo Global Illumination
    Dammertz, Holger
    Hanika, Johannes
    Keller, Alexander
    Lensch, Hendrik P. A.
    WSCG 2010: FULL PAPERS PROCEEDINGS, 2010, : 159 - +
  • [8] RenderStorm - A Monte Carlo global illumination testbed for virtual environment
    Liu, C
    Xu, Q
    Zhang, S
    FOURTH INTERNATIONAL CONFERENCE ON VIRTUAL REALITY AND ITS APPLICATIONS IN INDUSTRY, 2004, 5444 : 83 - 86
  • [9] Adaptive sampling for Monte Carlo global illumination using Tsallis entropy
    Xu, Q
    Bao, SQ
    Zhang, R
    Hu, RJ
    Sbert, M
    COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 2, PROCEEDINGS, 2005, 3802 : 989 - 994
  • [10] COMPUTATION OF GLOBAL ILLUMINATION IN A PARTICIPATING MEDIUM BY MONTE-CARLO SIMULATION
    PATTANAIK, SN
    MUDUR, SP
    JOURNAL OF VISUALIZATION AND COMPUTER ANIMATION, 1993, 4 (03): : 133 - 152
12345