Tristimulus Value Rendering of Wavelength-Dependent Phenomena Using Importance Sampling

摘要

The paper proposes a novel method for rendering wavelength-dependent phenomena such as dispersion and interference of light in cooperation with Monte Carlo integration and importance sampling. The method, we call tristimulus value rendering, is simple and generates a physically correct image with less computational resource than a traditional spectral rendering. The tristimulus value rendering makes use of the property of human visual perception to sample several sets of wavelength of light in cooperation with importance sampling. Several examples including the effects of dispersion and interference of light demonstrate the usefulness of the proposed method.