By the same authors

From the same journal

From the same journal

Perceptually Validated Cross-Renderer Analytical BRDF Parameter Remapping

Research output: Contribution to journalArticlepeer-review

Full text download(s)

Published copy (DOI)



Publication details

JournalIEEE Transactions on Visualization and Computer Graphics
DateAccepted/In press - 1 Jan 2018
DatePublished (current) - 14 Dec 2018
Issue number6
Number of pages15
Pages (from-to)2258-2272
Original languageEnglish


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.

    Research areas

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

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations