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Alternative Monte Carlo Approach for General Global Illumination

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【作者】 徐庆李朋徐源孙济洲

【Author】 XU Qing, LI Peng, XU Yuan, SUN Ji-zhou(School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China)

【机构】 School of Electronic Information EngineeringTianjin UniversityTianjin 300072ChinaChina

【Abstract】 An alternative Monte Carlo strategy for the computation of global illumination problem was presented.The proposed approach provided a new and optimal way for solving Monte Carlo global illumination based on the zero variance importance sampling procedure. A new importance driven Monte Carlo global illumination algorithm in the framework of the new computing scheme was developed and implemented. Results, which were obtained by rendering test scenes, show that this new framework and the newly derived algorithm are effective and promising.

【基金】 SupportedbytheProjectSponsoredbytheScientificReasearchFoundationfortheReturnedOverseasChineseScholars;StateEducationMinistry(No .D4 2 0 0 4 0 7) .
  • 【文献出处】 Transactions of Tianjin University ,天津大学学报(英文版) , 编辑部邮箱 ,2004年04期
  • 【分类号】O212
  • 【下载频次】19
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