Perceptually Validated Cross-Renderer Analytical BRDF Parameter Remapping

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

doi:10.1109/TVCG.2018.2886877

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 journal › Article › peer-review

Abstract

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 language	English
Pages (from-to)	2258-2272
Number of pages	15
Journal	IEEE Transactions on Visualization and Computer Graphics
Volume	26
Issue number	6
DOIs	https://doi.org/10.1109/TVCG.2018.2886877
Publication status	Published - 14 Dec 2018

Keywords

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

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10.1109/TVCG.2018.2886877

perceptually-validated-accepted_TVCGAccepted author manuscript, 38.2 MB

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title = "Perceptually Validated Cross-Renderer Analytical BRDF Parameter Remapping",

abstract = "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.",

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author = "Darya Guarnera and Guarnera, {Giuseppe Claudio} and Matteo Toscani and Mashhuda Glencross and Baihua Li and Hardeberg, {Jon Yngve} and Karl Gegenfurtner",

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AU - Guarnera, Darya

AU - Guarnera, Giuseppe Claudio

AU - Toscani, Matteo

AU - Glencross, Mashhuda

AU - Li, Baihua

AU - Hardeberg, Jon Yngve

AU - Gegenfurtner, Karl

PY - 2018/12/14

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N2 - 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.

AB - 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.

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KW - Computational modeling

KW - Lighting

KW - Measurement

KW - Optimization

KW - Perceptual validation

KW - Probes

KW - Rendering (computer graphics)

KW - Surface perception

KW - Virtual Materials

KW - Visualization

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Perceptually Validated Cross-Renderer Analytical BRDF Parameter Remapping

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Claudio Guarnera

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