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Related Experiment Videos

The internal representation of solid shape with respect to vision.

J J Koenderink, A J van Doorn

    Biological Cybernetics
    |May 2, 1979
    PubMed
    Summary

    Internal models of objects function as predictive tools for sensory feedback during actions. This research derives this function for visual perception of rigid bodies, proposing a new measure for shape complexity.

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    Area of Science:

    • Cognitive Science
    • Computational Neuroscience
    • Visual Perception

    Background:

    • Understanding the internal mechanisms of object perception is crucial for cognitive science.
    • Predicting sensory consequences (reafference) of actions is fundamental to motor control and perception.

    Purpose of the Study:

    • To propose that an object's internal model must be a function enabling prediction of reafference for any action.
    • To derive this function explicitly for visual perception of rigid bodies by ambulant observers.
    • To define a measure for the visual complexity of solid shapes based on this derived function.

    Main Methods:

    • Derivation of an internal model function based on physical causation, independent of specific physiological mechanisms.
    • Analysis of the function's dependence on physical properties rather than biological substrates.
    • Postulation of a link between the derived function's invariants and physiological evidence (e.g., Hubel and Wiesel's work).

    Main Results:

    • The internal model is mathematically defined as a function predicting reafference from actions.
    • This function is explicitly derived for visual perception of rigid objects by moving individuals.
    • A novel measure for visual complexity of solid shapes is proposed, derived from the function.

    Conclusions:

    • The derived function provides a priori insights into possible internal models of objects.
    • Orientation-sensitive neurons may physiologically support the extraction of the function's invariants.
    • The framework offers a new perspective on visual complexity and relates to Gestalt theories of perception.

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