ArticlePLoS computational biology2018
Material and shape perception based on two types of intensity gradient information.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Soil Warming Shifts Seasonal and Soil Depth-Related Root Growth Dynamics in Subarctic Grasslands.Global change biology · 2026Article
- Effects of "temporal preparation" on neural processing of physical and affective material attributes.Journal of vision · 2026Article
- Human gloss perception reproduced by tiny neural networks.Nature human behaviour · 2026Article
- Evaluation of shape recovery algorithm for translucent objects.Scientific reports · 2026Article
- Color and gloss constancy under diverse lighting environments.Journal of vision · 2023Article
- Material category of visual objects computed from specular image structure.Nature human behaviour · 2023Article
- Qualitative perception of 3D shape from patterns of luminance curvature.Journal of vision · 2023Article
- Texture statistics involved in specular highlight exclusion for object lightness perception.Journal of vision · 2023Article
- Unsupervised learning reveals interpretable latent representations for translucency perception.PLoS computational biology · 2023Article
- The dominating impacts of Helmholtz-Kohlrausch effect on color-induced glossiness enhancement.Journal of vision · 2023Article
- Visual discrimination of optical material properties: A large-scale study.Journal of vision · 2022Article
- The Role of Specular Reflections and Illumination in the Perception of Thickness in Solid Transparent Objects.Frontiers in psychology · 2022Article
- Gloss perception: Searching for a deep neural network that behaves like humans.Journal of vision · 2021Article
- Unsupervised learning predicts human perception and misperception of gloss.Nature human behaviour · 2021Article
- Low level visual features support robust material perception in the judgement of metallicity.Scientific reports · 2021Article
- Perceived roughness of glossy objects: The influence of Fresnel effects and correlated image statistics.Journal of vision · 2021Article
- Effect of geometric sharpness on translucent material perception.Journal of vision · 2020Article
- Computational Model for Human 3D Shape Perception From a Single Specular Image.Frontiers in computational neuroscience · 2019Article
- Beyond scattering and absorption: Perceptual unmixing of translucent liquids.Journal of vision · 2018Article
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Visual estimation of the material and shape of an object from a single image includes a hard ill-posed computational problem. However, in our daily life we feel we can estimate both reasonably well. The neural computation underlying this ability remains poorly understood. Here we propose that the human visual system uses different aspects of object images to separately estimate the contributions of the material and shape. Specifically, material perception relies mainly on the intensity gradient magnitude information, while shape perception relies mainly on the intensity gradient order information. A clue to this hypothesis was provided by the observation that luminance-histogram manipulation, which changes luminance gradient magnitudes but not the luminance-order map, effectively alters the material appearance but not the shape of an object. In agreement with this observation, we found that the simulated physical material changes do not significantly affect the intensity order information. A series of psychophysical experiments further indicate that human surface shape perception is robust against intensity manipulations provided they do not disturb the intensity order information. In addition, we show that the two types of gradient information can be utilized for the discrimination of albedo changes from highlights. These findings suggest that the visual system relies on these diagnostic image features to estimate physical properties in a distal world.
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