Importance-Driven Hierarchical Stochastic Ray Radiosity

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• Publication Type: Technical Report
• Keywords: view potential, view importance, hierarchical refinement, hierarchy, radiosity, Monte-Carlo

@techreport\{Prikryl-1999-PDT,
  title =      "Importance-Driven Hierarchical Stochastic Ray Radiosity",
  author =     "Jan Prikryl and Philippe Bekaert and Werner Purgathofer",
  year =       "1999",
  abstract =   "We present a hierarchical Monte-Carlo radiosity algorithm
               driven by the view importance. Using this quantity it is
               possible to concentrate the computational effort on solution
               in the immediate environment of the observer, trading the
               low solution quality in invisible areas for better quality
               in areas that are visible for the observer. This is achieved
               by modifying the sampling probabilities of scene elements so
               that more samples are concentrated in the area of high
               importance and by extending the subdivision oracle function
               so that the subdivision is coarser in areas of low          
                       importance.",
  address =    "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
  institution = "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology",
  note =       "human contact: technical-report@cg.tuwien.ac.at",
  month =      oct,
  number =     "TR-186-2-99-22",
  keywords =   "view potential, view importance, hierarchical refinement,
               hierarchy, radiosity, Monte-Carlo",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/1999/Prikryl-1999-PDT/",
}