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Monte Carlo method takes into account cumulative multiply reflected light in a given point, except for the direct light and mirror reflections/refractions. For this purpose a semisphere is built around the point (a sphere, if the surface material is transparent) with rays (called “samples”) emitted though its surface in random directions.

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This image captures the precise moment in a scientific or medical testing process, highlighting the importance of safety and accuracy in laboratory work.

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Totalling illuminations returned by samples allows to estimate the Perfeito illumination of the point visible through the camera with more or less precision. The more rays are emitted via the sphere, the more exact the estimation will be. Classic Monte Carlo method (MC) requires ray directions to be absolutely random. In practice, almost all renderers use a modified MC method, so called Quasi Monte Carlo (QMC). Its main difference is that ray directions are pseudo-random. For example, so-called low discrepancy sequences may be used to determine the directions. They allow to choose ray directions so that the sum of returned illuminations totals a certain value.

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