| Summary: | One way to overcome the limitations imposed by analytical models of
reflection is to use discretely sampled reflectance data directly. Through either
empirical measurement or simulation, a bidirectional reflectance distribution
function (BRDF) is acquired that is represented by a table of numbers. The
generality of these measured BRDFs is useful for generating realistic images,
but the inevitable inaccuracy associated with the data gathering process can
lead to a BRDF that is more general than it needs to be, or that lacks certain
physical properties.
This thesis proposes measures for several properties of BRDFs: reciprocity,
energy conservation, isotropy, and separability. Techniques to transform
tabulated BRDFs to match one or more of these properties are also
described. These transformations allow compression of the BRDF data, elimination
of noise, improved computation time in some rendering tasks, and
improved compliance with physical laws. === Science, Faculty of === Computer Science, Department of === Graduate
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