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Rational BRDF
Romain Pacanowski1, Oliver Salazar Celis, Christophe Schlick
1Universite´ de Bordeaux with LP2N (CNRS: UMR5298), Talence, France. romain.pacanowski@institutoptique.fr
IEEE Transactions on Visualization and Computer Graphics
|March 7, 2012
Summary
This study introduces Rational BRDF, an efficient method for representing material reflectance data. Rational BRDFs enable compact storage and real-time rendering of complex Bidirectional Reflectance Distribution Functions (BRDFs).
Area of Science:
- Computer Graphics
- Material Science
Background:
- Accurate Bidirectional Reflectance Distribution Function (BRDF) measurement is crucial for realistic rendering.
- Large BRDF data sizes and complex model fitting hinder real-time applications.
Purpose of the Study:
- To introduce Rational BRDF, a novel, efficient representation for arbitrary BRDFs.
- To demonstrate the advantages of Rational BRDFs for compact storage and real-time rendering.
Main Methods:
- Developed a representation for BRDFs based on Rational Functions (RFs).
- Adapted parametrization for efficient fitting of measured material data.
- Applied RF fitting to derive the inverse Cumulative Distribution Function (CDF) for Monte-Carlo rendering.
Main Results:
- Rational BRDFs provide a more compact and efficient representation using low-degree RFs.
- Achieved accurate fitting of measured materials with controlled residual error.
- Enabled efficient importance sampling for Monte-Carlo rendering.
Conclusions:
- Rational BRDF offers a general-purpose and efficient solution for representing and rendering complex BRDFs.
- This method facilitates real-time applications and improves the accuracy of rendering processes.
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