Perceptually Validated Cross-Renderer Analytical BRDF Parameter Remapping
Authors: Guarnera, D., Guarnera, G.C., Toscani, M., Glencross, M., Li, B., Hardeberg, J.Y. and Gegenfurtner, K.R.
Journal: IEEE Transactions on Visualization and Computer Graphics
Volume: 26
Issue: 6
Pages: 2258-2272
eISSN: 1941-0506
ISSN: 1077-2626
DOI: 10.1109/TVCG.2018.2886877
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.
Source: Scopus
Perceptually Validated Cross-Renderer Analytical BRDF Parameter Remapping.
Authors: Guarnera, D., Guarnera, G.C., Toscani, M., Glencross, M., Li, B., Hardeberg, J.Y. and Gegenfurtner, K.R.
Journal: IEEE Trans Vis Comput Graph
Volume: 26
Issue: 6
Pages: 2258-2272
eISSN: 1941-0506
DOI: 10.1109/TVCG.2018.2886877
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.
Source: PubMed
Perceptually Validated Cross-Renderer Analytical BRDF Parameter Remapping
Authors: Guarnera, D., Guarnera, G.C., Toscani, M., Glencross, M., Li, B., Hardeberg, J.Y. and Gegenfurtner, K.R.
Journal: IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
Volume: 26
Issue: 6
Pages: 2258-2272
eISSN: 1941-0506
ISSN: 1077-2626
DOI: 10.1109/TVCG.2018.2886877
Source: Web of Science (Lite)
Perceptually Validated Cross-Renderer Analytical BRDF Parameter Remapping.
Authors: Guarnera, D., Guarnera, G.C., Toscani, M., Glencross, M., Li, B., Hardeberg, J.Y. and Gegenfurtner, K.R.
Journal: IEEE transactions on visualization and computer graphics
Volume: 26
Issue: 6
Pages: 2258-2272
eISSN: 1941-0506
ISSN: 1077-2626
DOI: 10.1109/tvcg.2018.2886877
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.
Source: Europe PubMed Central