Project description
Understanding materials perception and properties
The diverse physical properties, appearances, and behaviours of materials play a critical role in everyday tasks. Despite extensive research on visual recognition, material perception has been relatively neglected. Understanding how we perceive and interact with materials, predict their behaviours, and adapt our interactions based on their physical characteristics is essential for many activities. The ERC-funded STUFF project aims to bridge this knowledge gap in how we perceive, understand, predict, and interact with materials and their properties. It takes an interdisciplinary approach, combining methods from experimental psychology, behavioural neuroscience, computer graphics, computational image analysis, machine learning, and art. The project consists of five interconnected work packages and involves both real and simulated materials.
Objective
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.
Fields of science
Not validated
Not validated
Keywords
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Topic(s)
Funding Scheme
HORIZON-ERC - HORIZON ERC GrantsHost institution
35390 Giessen
Germany