摘要
通过对渐进式光子映射算法进行扩展,提出了一种基于自适应光子发射的渐进式光子映射算法。渐进式光子映射是一个多遍的全局光照算法,通过不断发射光子并渐进更新场景各点的光能估计能使其最终能收敛到无偏差的结果。由于渐进式光子映射完全使用密度估计来计算各点的光能,因此其收敛速度受光子分布影响较大。利用渐进式光子映射算法中固有的场景统计信息以及其多遍的特点,设计了一个自适应的光子发射策略,使得发射的光子能更多的分布在对最终绘制有效的区域,提高了原算法的绘制效率。
A simple extension of progressive photon mapping for tracing photon is presented adaptively, which make the algorithm converge to the right result more quickly. Progressive photon mapping is a multi-pass global illumination algorithm. The algorithm can compute the correct radiance value at a point in the limit by tracing photons pass by pass which update the point ＇ s radiance progressively. Progressive photon mapping totally uses density estimation to compute radiance, so its convergence rate is affected by photon distribution. According to progressive photon mapping＇ s inherent statistical information and its multi-pass feature, an adaptive photon tracing strategy is designed, which make a better photon distribution each pass and improve the rendering efficiency of the original algorithm.
出处
《计算机工程与设计》
CSCD
北大核心
2012年第1期219-223,共5页
Computer Engineering and Design
基金
国家自然科学基金项目(60573155)
关键词
渐进式光子映射
自适应光子发射
视点重要性
重要性采样
全局光照
progressive photon mapping； adaptive photon tracing； visual importance； important sampling； global illumination
