Global Illumination of large Scenes using Illumination-driven Geometry Adaptation

使用照明驱动的几何适应对大型场景进行全局照明

基本信息

  • 批准号:
    228504856
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    德国
  • 项目类别:
    Research Grants
  • 财政年份:
    2013
  • 资助国家:
    德国
  • 起止时间:
    2012-12-31 至 2022-12-31
  • 项目状态:
    已结题

项目摘要

Monte carlo methods are todays standard for physically correct global illumination simulations. Such a simulation can be computed despite the permanently growing scene size. Even out-of-core scenes are possible, but with a large time consumption for swapping geometry data in and out, although a large amount of parallel hardware is used.Therefore, this project aims for an illumination-driven geometry simplification of such an out-of-core scene which runs on a single machine with limited main memory. Given the current settings for camera, materials and light sources, the quality of the resulting lighting simulation should become optimal. The required geometry reduction process should therefore be integrated in the lighting simulation. The criterion for simplification of a region in the mesh should be the visible change in the illumination, which then leads to an adaptation of the level of detail of the mesh to the global illumination. This corresponds especially to regions which are not directly visible in the camera image, but contribute to the visible illumination indirectly. The goal of the project is to determine the best quality of a physically correct global illumination simulation, given a reduced amount of main memory. This project proposal is the continuation of the DFG project "Out-of-Core Global Illumination".
蒙特卡罗方法是当今物理正确的全局照明模拟的标准。这样的模拟可以计算,尽管不断增长的场景大小。即使是核外场景也是可能的,但是输入和输出几何数据需要大量的时间,尽管使用了大量的并行硬件。因此,该项目旨在通过光照驱动的几何结构简化这种在主存储器有限的单个机器上运行的非核心场景。给定当前设置的相机,材料和光源,由此产生的照明模拟的质量应该是最佳的。因此,所需的几何减少过程应该集成在照明模拟中。网格中一个区域的简化标准应该是光照的可见变化,然后导致网格的细节水平适应全局光照。这特别对应于在相机图像中不直接可见但间接贡献可见照明的区域。该项目的目标是在减少主内存的情况下,确定物理正确的全局照明模拟的最佳质量。本项目提案是DFG项目“out - core Global Illumination”的延续。

项目成果

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Professor Dr. Thorsten Grosch其他文献

Professor Dr. Thorsten Grosch的其他文献

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{{ truncateString('Professor Dr. Thorsten Grosch', 18)}}的其他基金

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
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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