ArticleJournal of vision2014
Accuracy and speed of material categorization in real-world images.
Article in Journal of vision, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
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The trial behind it
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Who cites it
39 citing papers in PubMed.
- 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
- Development of detection sensitivity to material properties in school-age children.Scientific reports · 2026Article
- Relationship Between Display Pixel Structure and Gloss Perception.Journal of imaging · 2026Article
- Impact of Display Pixel-Aperture Ratio on Perceived Roughness, Glossiness, and Transparency.Journal of imaging · 2025Article
- Core dimensions of human material perception.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Visual categorisation of images of familiar objects based on their authenticity: an fMRI study.Experimental brain research · 2025Article
- Impact of Display Sub-Pixel Arrays on Perceived Gloss and Transparency.Journal of imaging · 2024Article
- Perceptual dimensions of wood materials.Journal of vision · 2024Article
- High Dynamic Range Image Reconstruction from Saturated Images of Metallic Objects.Journal of imaging · 2024Article
- Peripheral material perception.Journal of vision · 2024Article
- materialmodifier: An R package of photo editing effects for material perception research.Behavior research methods · 2024Article
- A new test for evaluation of marginal cognitive function deficits in idiopathic normal pressure hydrocephalus through expressing texture recognition by sound symbolic words.Frontiers in aging neuroscience · 2024Article
- The role of texture summary statistics in material recognition from drawings and photographs.Journal of vision · 2023Article
- Reconstructing visual illusory experiences from human brain activity.Science advances · 2023Article
- EEG Decoding Reveals Neural Predictions for Naturalistic Material Behaviors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Material category of visual objects computed from specular image structure.Nature human behaviour · 2023Article
- Sustainable materials: a linking bridge between material perception, affordance, and aesthetics.Frontiers in psychology · 2023Review
- Improving remote material classification ability with thermal imagery.Scientific reports · 2022Article
- Functional recursion of orientation cues in figure-ground separation.Vision research · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
It is easy to visually distinguish a ceramic knife from one made of steel, a leather jacket from one made of denim, and a plush toy from one made of plastic. Most studies of material appearance have focused on the estimation of specific material properties such as albedo or surface gloss, and as a consequence, almost nothing is known about how we recognize material categories like leather or plastic. We have studied judgments of high-level material categories with a diverse set of real-world photographs, and we have shown (Sharan, 2009) that observers can categorize materials reliably and quickly. Performance on our tasks cannot be explained by simple differences in color, surface shape, or texture. Nor can the results be explained by observers merely performing shape-based object recognition. Rather, we argue that fast and accurate material categorization is a distinct, basic ability of the visual system.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.