Perceptually Validated Cross-Renderer Analytical BRDF Parameter Remapping

Darya Guarnera, Giuseppe Claudio Guarnera, Matteo Toscani, Mashhuda Glencross, Baihua Li, Jon Yngve Hardeberg, Karl Gegenfurtner

Research output: Contribution to journalArticlepeer-review


Material appearance of rendered objects depends on the underlying BRDF implementation used by rendering software packages. A lack of standards to exchange material parameters and data (between tools) means that artists in digital 3D prototyping and design, manually match the appearance of materials to a reference image. Since their effect on rendered output is often non-uniform and counter intuitive, selecting appropriate parameterisations for BRDF models is far from straightforward. We present a novel BRDF remapping technique, that automatically computes a mapping (BRDF Difference Probe) to match the appearance of a source material model to a target one. Through quantitative analysis, four user studies and psychometric scaling experiments, we validate our remapping framework and demonstrate that it yields a visually faithful remapping among analytical BRDFs. Most notably, our results show that even when the characteristics of the models are substantially different, such as in the case of a phenomenological model and a physically-based one, our remapped renderings are indistinguishable from the original source model.

Original languageEnglish
Pages (from-to)2258-2272
Number of pages15
JournalIEEE Transactions on Visualization and Computer Graphics
Issue number6
Publication statusPublished - 14 Dec 2018


  • BRDF model
  • Computational modeling
  • Lighting
  • Measurement
  • Optimization
  • Perceptual validation
  • Probes
  • Rendering (computer graphics)
  • Surface perception
  • Virtual Materials
  • Visualization

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