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Dissociated Dipoles: Image representation via non-local comparisons

Author(s)
Balas, Benjamin J.; Sinha, Pawan
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Abstract
A fundamental question in visual neuroscience is how to represent image structure. The most common representational schemes rely on differential operators that compare adjacent image regions. While well-suited to encoding local relationships, such operators have significant drawbacks. Specifically, each filter's span is confounded with the size of its sub-fields, making it difficult to compare small regions across large distances. We find that such long-distance comparisons are more tolerant to common image transformations than purely local ones, suggesting they may provide a useful vocabulary for image encoding. . We introduce the "Dissociated Dipole," or "Sticks" operator, for encoding non-local image relationships. This operator de-couples filter span from sub-field size, enabling parametric movement between edge and region-based representation modes. We report on the perceptual plausibility of the operator, and the computational advantages of non-local encoding. Our results suggest that non-local encoding may be an effective scheme for representing image structure.
Date issued
2003-08-13
URI
http://hdl.handle.net/1721.1/7276
Other identifiers
AIM-2003-018
CBCL-229
Series/Report no.
AIM-2003-018CBCL-229
Keywords
AI, image representation, recognition, non-local filtering

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