A systematic approach to testing and predicting light-material interactions

Zhang, Fan; Ridder, Huib de; Barla, Pascal; Pont, Sylvia C.

doi:10.1167/19.4.11

Cited by 23 publications

(51 citation statements)

References 32 publications

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“…11). 466 We also found illumination dependence on material recognition as in the previous studies 489 (Fleming et al, 2003;Motoyoshi & Matoba 2012;Zhang et al, 2019). We used the three display 490 conditions where the illumination environment used in a task was identical (Display 1), similar to 491 each other (Display 2), or largely different each other (Display 3).…”

Section: Environment Dependence 400mentioning

confidence: 78%

Visual discrimination of optical material properties: a large-scale study

Sawayama

Dobashi

Okabe

et al. 2019

Preprint

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19 20 21 the spatial consistency of specular highlights on glossiness perception had a larger individual 40 difference than other tasks. The performance obtained through crowdsourcing was highly 41 correlated with that in the laboratory, which suggests that our database can be used even when the 42 experimental conditions are not strictly controlled under non-laboratory environments. Several 43 projects using our dataset are underway. 44 45 46

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Section: Environment Dependence 400mentioning

confidence: 78%

Visual discrimination of optical material properties: a large-scale study

Sawayama

Dobashi

Okabe

et al. 2019

Preprint

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“…In one of our former studies (Zhang, de Ridder, Barla, & Pont, 2019), we asked observers to judge material qualities for a variety of material-lighting combinations. To this end, a system was developed using optics-based models of canonical material and lighting modes that span a wide range of natural materials and lighting.…”

Section: Introductionmentioning

confidence: 99%

“…In one experimental condition of the abovementioned study (Zhang et al, 2019), we employed computer renderings of three generic natural lighting environments approximating the ambient, focus, and brilliance lighting modes. On the basis of quantitative metrics of the relative power of their SH decomposition components, the following three lighting maps from the high-resolution USC database (http://gl.ict.usc.edu/Data/HighResProbes/) were selected to represent the three canonical lightings the best: Glacier for ambient lighting (dominated by the zeroth-order SH component), Ennis for focus lighting (dominated by the first-order SH component), and Grace-new for brilliance lighting (dominated by the sum of the higher-order SH components).…”

Section: Introductionmentioning

confidence: 99%

“…In the current study, we applied our optics-based canonical approach for the four materials and three lighting modes (Zhang et al, 2019) and looked into the effects of light map orientation and shape in order to further investigate how to bring out the physical material best-which is an important issue for disciplines and applications involving lighting design and material communication (e.g., computer graphics, design visualizations, webshops, and material selection interfaces). Specifically, we tested the visual perception of our four canonical materials (matte, velvety, specular, glittery) under three metrics-matched natural lighting maps best representing our canonical lighting modes (ambient, focus, and brilliance), namely, the lighting maps Glacier, Ellis, and Grace-new (from the USC database http://gl.ict.usc.edu/data/HighResProbes/).…”

Section: Introductionmentioning

confidence: 99%

“…This test was confined to one perceptual quality per material, namely, the corresponding material quality (matte, velvety, specular, or glittery) for each material mode. The lighting modes are expected to give main effects that are material dependent (Zhang et al, 2019). The variation of lighting direction is expected to result in no or minor effects for the Glacier illumination, since that is the best match to ambient illumination, which in its purest form is fully diffuse and nondirectional.…”

Section: Introductionmentioning

confidence: 99%

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Effects of light map orientation and shape on the visual perception of canonical materials

et al. 2020

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We previously presented a systematic optics-based canonical approach to test material-lighting interactions in their full natural ecology, combining canonical material and lighting modes. Analyzing the power of the spherical harmonics components of the lighting allowed us to predict the lighting effects on material perception for generic natural illumination environments. To further understand how material properties can be brought out or communicated visually, in the current study, we tested whether and how light map orientation and shape affect these interactions in a rating experiment: For combinations of four materials, three shapes, and three light maps, we rotated the light maps in 15 different configurations. For the velvety objects, there were main and interaction effects of lighting and light map orientation. The velvety ratings decreased when the main light source was coming from the back of the objects. For the specular objects, there were main and interaction effects of lighting and shape. The specular ratings increased when the environment in the specular reflections was clearly visible in the stimuli. For the glittery objects, there were main and interaction effects of shape and light map orientation. The glittery ratings correlated with the coverage of the glitter reflections as the shape and light map orientation varied. For the matte objects, results were robust across all conditions. Last, we propose combining the canonical modes approach with so-called importance maps to analyze the appearance features of the proximal stimulus, the image, in contradistinction to the physical parameters as an approach for optimization of material communication.

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The effect of geometry and illumination on appearance perception of different material categories

et al. 2021

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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.

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A systematic approach to testing and predicting light-material interactions

Cited by 23 publications

References 32 publications

Visual discrimination of optical material properties: a large-scale study

Visual discrimination of optical material properties: a large-scale study

Effects of light map orientation and shape on the visual perception of canonical materials

The effect of geometry and illumination on appearance perception of different material categories

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