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Optimal Combination of Ray Tracing and Rasterization (R squared)

Optimal Combination of Ray Tracing and Rasterization (R squared)
光线追踪和光栅化的最佳组合(R 平方)
批准号:
524961573
负责人:
Professor Dr. Thorsten Grosch
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
--
资助国家:
德国
项目状态:
未结题
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中文摘要
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英文摘要
Today, global illumination is mostly simulated with Monte Carlo methods, where the integral equation is solved step by step by generation of random paths. Due to the ray-tracing hardware that has been available for some years, these methods have become partially real-time capable. On the other hand, many fast rasterization-based methods exist for real-time global illumination. Thus, the question arises whether a suitable combination of the two approaches can achieve an acceleration of the image generation. The aim of the project is therefore to find the optimal combination of ray tracing and rasterization, such that no visible changes appear in the image of a global illumination simulation, but a significant acceleration of the image generation is achieved. In the Monte Carlo simulation, suitable rasterization techniques are to be used selectively along a random path. In addition, a purely rasterization-based real-time illumination with a geometry buffer should be supported selectively by a ray tracer.
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Global Illumination of large Scenes using Illumination-driven Geometry Adaptation
  • 批准号:
    228504856
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2013
  • 负责人:
    Professor Dr. Thorsten Grosch
  • 依托单位:
海外基金