Importance Driven Path Tracing using the Photon Map
نویسنده
چکیده
This paper presents a new importance sampling strategy for Monte Carlo ray tracing in which a rough estimate of the irradiance based on the photon map is combined with the local re ection model to construct more e cient probability density functions that can be used in an importance sampling scheme The algorithm gives unbiased results handles arbitrary re ection models and it is particularly e cient in scenes with highly non uniform indirect illumination Initial results and comparisons with traditional importance sampling strategies indicate a reduction in the noise level of more than
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