State of the art in photon density estimation

  • Authors:
  • Toshiya Hachisuka;Wojciech Jarosz;Guillaume Bouchard;Per Christensen;Jeppe Revall Frisvad;Wenzel Jakob;Henrik Wann Jensen;Michael Kaschalk;Claude Knaus;Andrew Selle;Ben Spencer

  • Affiliations:
  • Aarhus University;Disney Research Zürich;Université Claude Bernard Lyon, CNRS, France;Pixar;Technical University of Denmark;Cornell University;UC San Diego;Walt Disney Animation Studios;University of Bern;Walt Disney Animation Studios;Swansea University

  • Venue:
  • ACM SIGGRAPH 2012 Courses
  • Year:
  • 2012

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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 that eliminate error completely in the limit, and methods that use higher-order samples and queries to reduce error in participating media. This two-part course explains how to implement all these latest advances in photon-density estimation. It begins with a short introduction using classical photon mapping, but the remainder of the course provides new, hands-on explanations of the latest developments in this area by experts in each technique. Attendees gain concrete and practical understanding of the latest developments in photon-density-estimation techniques that have not been presented before in SIGGRAPH courses.