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Abstract:
In this paper we discuss a methodology for comparing various ray shooting
algorithms through a set of experiments performed on a set of scenes. We
develop a computational model for ray shooting algorithms, which allows us to
map any particular ray shooting algorithm to the computational model. Further,
we develop a performance model for ray shooting algorithms, which establishes
the correspondence between the computational model and the running time of the
ray shooting algorithm for a sequence of ray shooting queries. Based on these
computational and performance models, we propose a set of parameters describing
the use of a ray shooting algorithm in applications. These parameters allows us
to make a fair comparison of various ray shooting algorithms for the same set
of input data, \ie, the same scene and the same sequence of ray shooting
queries, but virtually independently of hardware and implementation issues.
Under certain conditions, the proposed comparison methodology enables
cross-comparison of published research work without reimplementation of other
ray shooting algorithms.
