Automatic Bounding Volume Hierarchy Generation Using Stochastic Search Methods

نویسندگان

  • Kelvin Ng
  • Borislav Trifonov
چکیده

A bounding volume hierarchy is a common method for making ray tracing based rendering more efficient. Constructing good hierarchies, however, is a difficult problem as the number of hierarchies grows exponentially with the number of scene objects. In this paper, we attempted to apply stochastic search to techniques to solve the problem of automatic generation of bounding volume hierarchy. We have investigated the use of randomized constructive search method and the evolutionary algorithm to enhance two prominent heuristics for building bounding volume hierarchies.

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تاریخ انتشار 2003