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Identifying shape transformations from photographs of real objects.

Filipp Schmidt1, Roland W Fleming1

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Humans can infer an object's past transformations (like folding or bending) by looking at its current shape. Object material influences how accurately we perceive these shape changes, demonstrating visual cognition abilities.

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Area of Science:

  • Cognitive Science
  • Psychology
  • Material Science

Background:

  • Human visual cognition involves inferring object properties, including their causal history.
  • Research on inferring object transformations from shape is limited.
  • Understanding how material properties affect shape perception is crucial.

Purpose of the Study:

  • To investigate whether humans can infer an object's causal history (transformations) from its shape.
  • To determine if object material influences the accuracy of inferring transformations.
  • To explore the cognitive mechanisms behind 'shape scission' – separating shape features by causal origin.

Main Methods:

  • Photographed 720 objects across six materials (wax, aluminum foil, gold foil, chicken wire, putty, cardboard).
  • Applied four shape-altering transformations (folded, bent, crumpled, twisted) with varied execution and viewpoints.
  • Assessed participant ability to name, rate, and classify transformations and materials from images.

Main Results:

  • Participants accurately inferred transformations from object shapes.
  • Inference accuracy was modulated by the object's material.
  • Results indicate a distinction between intrinsic (material) and extrinsic (transformation) properties.

Conclusions:

  • Humans can infer an object's causal history from its current shape.
  • Object material plays a significant role in the accuracy of inferring transformations.
  • The ability to separate shape features by causal origin suggests integrated perceptual and cognitive processes.