Total appearance differences for metallic and pearlescent materials: Contributions from color and texture

Dekker, Niels; Kirchner, Eric; Supèr, Rianne; Kieboom, G. J. van den; Gottenbos, R.

doi:10.1002/col.20586

Cited by 43 publications

(42 citation statements)

References 18 publications

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“…Notably, on average, the correlation coefficient of coarseness for diffuse light is greater than that for directional light, whereas the correlation coefficient of sparkle for diffuse light is lesser than that for directional light. This result agrees with the finding of Kirchner et al that the effect of sparkle is easily visible under directional light and that the effect of coarseness is clearly perceived under diffuse light [10][11][12]. Because h has rather low correlation coefficients (≤0.05) in both Components 1 and 2 under directional and diffuse light conditions, it can be stated that the hue of metallic coatings had little influence on the perception of sparkle or coarseness.…”

Section: Resultssupporting

confidence: 91%

Assessing appearance and emotional attributes of coloured metallic paints

Huang

Chen

Luo

et al. 2017

Coloration Technology

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The objective of this study was to investigate the agreement between multiangle appearance data obtained from multiangle measurements and the rating scores given by observers in terms of sparkle and coarseness. The metallic emotional equation for coloured metallic paints was developed on the basis of two experimental results. Experiment 1 involved measuring metallic paint appearance, and a multiangle spectrophotometer was used for measuring the appearance parameters of metallic coating samples under multiple measuring angles. In Experiment 2, observers were asked to visually assess coloured metallic samples under directional and diffuse light conditions. The observers assessed the test samples, illuminated from the top, from three observation angles. Principal component analysis was performed to analyse the observers' emotional responses. Finally, the metallic emotional models consisting of the expensiveness model and fashion model were constructed.

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Section: Resultssupporting

confidence: 91%

Assessing appearance and emotional attributes of coloured metallic paints

Huang

Chen

Luo

et al. 2017

Coloration Technology

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“…The phenomenon of glitter is of great interest to manufacturers of cars and car paints, and the perception of glitter has been studied in that context in color science [McCamy 1996;McCamy 1998;Kirchner et al 2007;Dekker et al 2010]. This work has identified many salient perceptual effects, including the texture characteristics of diffuse coarseness (contrast of the noise seen under diffuse illumination) and glints (bright points seen under unidirectional illumination).…”

Section: Prior Workmentioning

confidence: 99%

Discrete stochastic microfacet models

et al. 2014

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Figure 1: Left: fancy pair of women's dress shoes with a glittery finish modeled using our discrete microfacet BRDF. Right: Christmas ornaments illustrating a range of model parameters including different particle counts, surface roughness, and anisotropy. AbstractThis paper investigates rendering glittery surfaces, ones which exhibit shifting random patterns of glints as the surface or viewer moves. It applies both to dramatically glittery surfaces that contain mirror-like flakes and also to rough surfaces that exhibit more subtle small scale glitter, without which most glossy surfaces appear too smooth in close-up. These phenomena can in principle be simulated by high-resolution normal maps, but maps with tiny features create severe aliasing problems under narrow-angle illumination. In this paper we present a stochastic model for the effects of random subpixel structures that generates glitter and spatial noise that behave correctly under different illumination conditions and viewing distances, while also being temporally coherent so that they look right in motion. The model is based on microfacet theory, but it replaces the usual continuous microfacet distribution with a discrete distribution of scattering particles on the surface. A novel stochastic hierarchy allows efficient evaluation in the presence of large numbers of random particles, without ever having to consider the particles individually. This leads to a multiscale procedural BRDF that is readily implemented in standard rendering systems, and which converges back to the smooth case in the limit.

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“…Since metallic coatings used in automotive industry present an attractive appearance, they have been a hot area of research for years. [1][2][3][4][5] Appearance, the visual perception of an object by an observer, results from the interaction of the object with incident light. The light properties, optical characteristics of the object, and human perception mechanism codetermine the interaction process.…”

Section: Introductionmentioning

confidence: 99%

Towards a practical metric of surface gloss for metallic coatings from automotive industry

Wang

et al. 2016

J Coat Technol Res

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The specular gloss of metallic coatings from the automotive industry can be well measured by current glossmeters when the geometry is appropriately chosen from 20°, 60°, and 85°based on the gloss levels observed. However, the measurements are discontinuous and even nonmonotonic at the breakpoints dividing samples into different gloss levels in the whole range, which causes confusion and inconvenience for industry applications. In this study, attempts were made to link the measurements at the three geometries to be continuous monotonically and in the meanwhile to improve the accuracy of estimating visual gloss. A psychophysical experiment based on a magnitude method was carried out to assess the gloss of metallic coatings with different colors and textures. The visually scaled gloss data were compared with spectrophotometric measurements and instrumental specular gloss values under different geometries. With different weighing coefficients for measurements at individual geometries depending on the gloss levels, a model was proposed to describe the visual surface gloss of metallic coatings comprehensively via a practical metric based on the geometry-dependent measurements. In this way, each sample would have a unique overall gloss value highly correlated with its perceptual evaluation over the entire gloss range.

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Total appearance differences for metallic and pearlescent materials: Contributions from color and texture

Cited by 43 publications

References 18 publications

Assessing appearance and emotional attributes of coloured metallic paints

Assessing appearance and emotional attributes of coloured metallic paints

Discrete stochastic microfacet models

Towards a practical metric of surface gloss for metallic coatings from automotive industry

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