“State of the Art in Photon-Density Estimation” by Hachisuka, Jarosz, Bouchard, Christensen, Frisvad, et al. …

  • ©Toshiya Hachisuka, Wojciech Jarosz, Guillaume Bouchard, Per H. Christensen, Jeppe Revall Frisvad, Wenzel Jakob, Henrik Wann Jensen, Michael Kaschalk, Claude Knaus, Andrew Selle, and Ben Spencer


Abstract:


    Abstract
    Photon density estimation techniques are a popular choice for simulating light transport in scenes with complicated geometry and materials. This class of algorithms can be used to accurately simulate inter-reflections, caustics, color bleeding, scattering in participating media and subsurface scattering. Since its introduction, photon density estimation has been significantly extended in computer graphics with the introduction of: specialized techniques that intelligently modify the positions or bandwidths to reduce visual error using a small number of photons, approaches which eliminate error completely in the limit, and methods that use higher-order samples and queries to reduce error in participating media. This course provides the necessary insight to implement all these latest advances in photon density estimation. The course starts out with a short introduction to photon density estimation using classical photon mapping, but the remainder of the two-part course provides new, hands-on explanations of the latest developments in this area by the experts behind each technique. The course will also cover recent applications of these techniques within industry. The course will give the audience concrete and practical understanding of the latest developments in photon density estimation techniques that have not been presented in prior SIGGRAPH courses.


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