Importance-driven Monte Carlo Light Tracing

Abstract

One possible method for solving the global illumination problem is to use a particle model, where particles perform a random walk through the scene to be rendered. The proposed algorithm uses this particle model, but computes the illumination of the pixels in a direct manner. In order to optimise the sampling process, adaptive probability density functions are used. The result is that particles are shot to those regions with a high potential capability. This algorithm has some advantages, such as the absence of a mesh and the possibility to handle all types of light-surface interactions with the same method.