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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Main Author: DeYoung, Joel M.
Format: Others
Language:English
Published: 2009
Online Access:http://hdl.handle.net/2429/5996
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spelling 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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language English
format 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
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