research data . Dataset . 2018

Identifying shape transformations from photographs of real objects

Schmidt, Filipp; Fleming, Roland W.;
Open Access
  • Published: 09 May 2018
  • Publisher: Figshare
Abstract
<div><p>An important task of human visual cognition is to make inferences about properties of objects. One such property is an object's causal history: what happened to the object in its past (e.g., “this paper has been folded”). There is relatively little research on whether and how we make such inferences. We took photographs of objects from six different materials (‘wax’, ‘aluminum foil’, ‘gold foil’, ‘chicken wire’, ‘putty’, ‘cardboard’) transformed by one of four shape-altering transformations (‘folded’, ‘bent’, ‘crumpled’, ‘twisted’). By varying execution of transformation and viewpoint, we obtained 30 images of each material/transformation combination (72...
Subjects
free text keywords: Biotechnology, Science Policy, Space Science, 69999 Biological Sciences not elsewhere classified, material class, results show, object shape, 30 images, transformation classes, shape features, object material, shape transformations, perceptual organization, causal history, object constancy, shape perception, shape understanding, Developmental Biology
Related Organizations
Funded by
EC| SHAPE
Project
SHAPE
Shape Understanding: On the Perception of Growth, Form and Process
  • Funder: European Commission (EC)
  • Project Code: 682859
  • Funding stream: H2020 | ERC | ERC-COG
Communities
Science and Innovation Policy Studies
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Dataset . 2018
Provider: Zenodo
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Dataset . 2018
Provider: Datacite
Zenodo
Dataset . 2018
Provider: Datacite
figshare
Dataset . 2018
Provider: figshare
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