An Adaptive Discretization Method for Progressive Radiosity
نویسنده
چکیده
The solutions of the radiosity method are highly dependent on the discretization used . All methods used to generate these discretizations have to date depended upon the scene being formed of polygonal faces. However, these are often not the most efficient representations of the objects. The meshing process usually only takes geometry into account, making shadow edges awkward to deal with . In addition, there are a number of restrictions that the radiosity method requires of the model that most available modellers do not enforce. The method presented here allows non-polygonal objects to be used as input to a progressive radiosity method. The environment is sampled by ray casting, removing the need for a polygonal representation to be provided. The method allows the generation of a discretization that is sensitive to lighting changes, not only to geometric constraints. One effect of this is that higher order discontinuities in surface lighting are detected and the discretization can be focused in these areas without user intervention.
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