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: --
• 依托单位: Institut für Informatik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/524961573?language=en
• 关键词: Optimal; Combination; Ray; Tracing; Rasterization

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.

如今，全局照明主要采用蒙特卡罗方法进行模拟，通过生成随机路径逐步求解积分方程。由于光线追踪硬件已经面世多年，这些方法已经具有部分实时能力。另一方面，存在许多用于实时全局照明的基于快速光栅化的方法。因此，出现了这两种方法的适当组合是否可以实现图像生成加速的问题。因此，该项目的目标是找到光线追踪和光栅化的最佳组合，使得全局照明模拟的图像中不会出现可见的变化，但可以显着加速图像生成。在蒙特卡罗模拟中，将沿着随机路径选择性地使用合适的光栅化技术。此外，光线追踪器应有选择地支持带有几何缓冲区的纯粹基于光栅化的实时照明。