Seeing Stuff: Perceiving Materials and their Properties

ERC (European Research Council)HORIZON-ERCID: 101098225
EC Contribution
€24,997
Consortium Size
1 orgs
Start Year
2023
Summary

Different materials, such as silk, soil, steel and soap exhibit an astonishing variety of physical properties, appearances and behaviours. The material properties of objects and substances are central to practically every task we perform, from selecting and preparing food, to detecting slippery ground, to using tools effectively. Without touching a surface, we usually enjoy a vivid impression of what it would feel like, through the sense of sight. Yet, how we do so remains mysterious. Decades of research has focussed on the visual recognition of objects, faces and scenes. By comparison, how we see, think about and interact with ‘stuff’ has been relatively neglected. STUFF addresses this major gap in our understanding. Material perception poses unique and fascinating challenges. The image of a surface is a complex and ambiguous combination of lighting, shape, and material properties. How does the visual system disentangle these intermingled physical factors? Deformable materials like liquids and textiles move and change shape in complex yet lawful ways. How do we infer intrinsic properties like viscosity, compliance and elasticity from such ever-changing stimuli? And how do we reason about and predict their future behaviours as they interact with their surroundings? How do we adapt our own interactions with objects to take into consideration their hardness, density, friction and other physical characteristics, allowing us to pluck a raspberry without crushing it, or pick up wet soap without it slipping through our fingers?STUFF takes a radically interdisciplinary approach to these questions in five tightly interconnected work-packages, bringing together state-of-the-art methods from experimental psychology and behavioural neuroscience, computer graphics and computational image analysis, machine learning and even art. We draw on real and simulated materials, to uncover how we perceive, reason about, predict and interact with materials and their properties.

Consortium (1)

Project Results (12)

Source: CORDIS, the EU research results database.

Publications (12)
Core dimensions of human material perception
Proceedings of the National Academy of Sciences· 2025DOI
Filipp Schmidt; Martin N Hebart; Alexandra C. Schmid; Roland Fleming
Does precision grip research extend to unconstrained, multidigit grasping?
Journal of Neurophysiology· 2025DOI
Fabrizio Lepori, Frieder T. Hartmann, Kira I. Dehn, Manuela Chessa, Roland W. Fleming, Guido Maiello
Material fingerprinting: predicting human perception of material appearance through psychophysical analysis and neural networks
Royal Society Open Science· 2025DOI
Jiri Filip, Filip Dechterenko, Filipp Schmidt, Jiri Lukavsky, Jan Kotera, Veronika Vilimovska, Roland W. Fleming
Orientation fields predict human perception of 3D shape from shading
Proceedings of the National Academy of Sciences· 2025DOI
Celine Aubuchon; Romain Vergne; Steven A. Cholewiak; Benjamin Kunsberg; Daniel Holtmann-Rice; Steven W. Zucker; Roland W. Fleming
High-level aftereffects reveal the role of statistical features in visual shape encoding
Current Biology· 2024DOI
Yaniv Morgenstern, Katherine R. Storrs, Filipp Schmidt, Frieder Hartmann, Henning Tiedemann, Johan Wagemans, Roland W. Fleming
Human shape perception spontaneously discovers the biological origin of novel, but natural, stimuli
Journal of The Royal Society Interface· 2024DOI
Kira I. Dehn; Guido Maiello; Frieder T. Hartmann; Yaniv Morgenstern; Sara Joy Hawkins; Thomas Offner; Joshua Walter; Thomas Hassenklöver; Ivan Manzini; Roland W. Fleming
Journal of Vision
Journal of Vision· 2024DOI
Jacob Raleigh Cheeseman; James Ferwerda; Takuma Morimoto; Roland Fleming
Predicting Perceived Gloss: Do Weak Labels Suffice?
Computer Graphics Forum· 2024DOI
Guerrero‐Viu, Julia; Subias, J. Daniel; Serrano, Ana; Storrs, Katherine R.; Fleming, Roland W.; Masia, Belen; Gutierrez, Diego
Self-Supervised Learning of Color Constancy
2024 IEEE International Conference on Development and Learning (ICDL)· 2024DOI
Ernst, Markus R.; López, Francisco M.; Aubret, Arthur; Fleming, Roland W.; Triesch, Jochen
Supplementary results and analyses from A simple optical flow model explains why certain object viewpoints are special.
· 2024DOI
Stewart, Emma; Fleming, Roland W; Schütz, Alexander
A simple optical flow model explains why certain object viewpoints are special
Proceedings of the Royal Society B: Biological Sciences· 2023DOI
Stewart, Emma E. M.; Fleming, Roland W.; Schütz, Alexander C.
Journal of Vision
Journal of Vision· 2023DOI
Jiri Filip; Jiri Lukavsky; Filip Dechterenko; Filipp Schmidt; Roland Fleming