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(Coarse coding of shape fragments) + (Retinotopy) ≈ Representation of structure

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image of Spatial Vision
For more content, see Multisensory Research and Seeing and Perceiving.

The ability to deal with object structure - to determine what is where in a given object, rather than merely to categorize or identify it - has been hitherto considered the prerogative of 'structural description' approaches, which represent shapes as categorical compositions of generic parts taken from a small alphabet. In this note, we propose a simple extension to a theoretically motivated and extensively tested appearance-based model of recognition and categorization, which should make it capable of representing object structure. We describe a pilot implementation of the extended model, survey independent evidence supporting its modus operandi, and outline a research program focused on achieving a range of object processing capabilities, including reasoning about structure, within a unified appearance-based framework.

Affiliations: 1: Department of Psychology, 232 Uris Hall, Cornell University, Ithaca, NY 14853-7601, USA; 2: Institute for Brain and Neural Systems, Box 1843, Brown University, Providence, RI 02912, USA


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