Chen, Bin; Wang, Chao; Piovarci, MichalISTA; Seidel, Hans Peter; Didyk, Piotr; Myszkowski, Karol; Serrano, Ana
The understanding of material appearance perception is a complex problem due to interactions between material reflectance, surface geometry, and illumination. Recently, Serrano et al. collected the largest dataset to date with subjective ratings of material appearance attributes, including glossiness, metallicness, sharpness and contrast of reflections. In this work, we make use of their dataset to investigate for the first time the impact of the interactions between illumination, geometry, and eight different material categories in perceived appearance attributes. After an initial analysis, we select for further analysis the four material categories that cover the largest range for all perceptual attributes: fabric, plastic, ceramic, and metal. Using a cumulative link mixed model (CLMM) for robust regression, we discover interactions between these material categories and four representative illuminations and object geometries. We believe that our findings contribute to expanding the knowledge on material appearance perception and can be useful for many applications, such as scene design, where any particular material in a given shape can be aligned with dominant classes of illumination, so that a desired strength of appearance attributes can be achieved.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie, grant agreement N∘ 765911 (RealVision) and from the European Research Council (ERC), grant agreement N∘ 804226 (PERDY). Open Access funding enabled and organized by Projekt DEAL.
Chen B, Wang C, Piovarci M, et al. The effect of geometry and illumination on appearance perception of different material categories. Visual Computer. 2021;37(12):2975-2987. doi:10.1007/s00371-021-02227-x
Chen, B., Wang, C., Piovarci, M., Seidel, H. P., Didyk, P., Myszkowski, K., & Serrano, A. (2021). The effect of geometry and illumination on appearance perception of different material categories. Visual Computer. Springer Nature. https://doi.org/10.1007/s00371-021-02227-x
Chen, Bin, Chao Wang, Michael Piovarci, Hans Peter Seidel, Piotr Didyk, Karol Myszkowski, and Ana Serrano. “The Effect of Geometry and Illumination on Appearance Perception of Different Material Categories.” Visual Computer. Springer Nature, 2021. https://doi.org/10.1007/s00371-021-02227-x.
B. Chen et al., “The effect of geometry and illumination on appearance perception of different material categories,” Visual Computer, vol. 37, no. 12. Springer Nature, pp. 2975–2987, 2021.
Chen B, Wang C, Piovarci M, Seidel HP, Didyk P, Myszkowski K, Serrano A. 2021. The effect of geometry and illumination on appearance perception of different material categories. Visual Computer. 37(12), 2975–2987.
Chen, Bin, et al. “The Effect of Geometry and Illumination on Appearance Perception of Different Material Categories.” Visual Computer, vol. 37, no. 12, Springer Nature, 2021, pp. 2975–87, doi:10.1007/s00371-021-02227-x.
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