Properties of tabulated bidirectional reflectance distribution functions
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...
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ndltd-UBC-oai-circle.library.ubc.ca-2429-59962018-01-05T17:32:53Z Properties of tabulated bidirectional reflectance distribution functions DeYoung, Joel M. 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 2009-03-13T19:58:28Z 2009-03-13T19:58:28Z 1996 1996-11 Text Thesis/Dissertation http://hdl.handle.net/2429/5996 eng For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use. 3622830 bytes application/pdf |
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English |
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Others
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description |
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 |
author |
DeYoung, Joel M. |
spellingShingle |
DeYoung, Joel M. Properties of tabulated bidirectional reflectance distribution functions |
author_facet |
DeYoung, Joel M. |
author_sort |
DeYoung, Joel M. |
title |
Properties of tabulated bidirectional reflectance distribution functions |
title_short |
Properties of tabulated bidirectional reflectance distribution functions |
title_full |
Properties of tabulated bidirectional reflectance distribution functions |
title_fullStr |
Properties of tabulated bidirectional reflectance distribution functions |
title_full_unstemmed |
Properties of tabulated bidirectional reflectance distribution functions |
title_sort |
properties of tabulated bidirectional reflectance distribution functions |
publishDate |
2009 |
url |
http://hdl.handle.net/2429/5996 |
work_keys_str_mv |
AT deyoungjoelm propertiesoftabulatedbidirectionalreflectancedistributionfunctions |
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1718587258419806208 |