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Title: | Dissociated Dipoles: Image representation via non-local comparisons |
Keywords: | AI image representation recognition non-local filtering |
Issue Date: | 9-Oct-2013 |
Description: | 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. |
URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
Other Identifiers: | AIM-2003-018 CBCL-229 http://hdl.handle.net/1721.1/7276 |
Appears in Collections: | MIT Items |
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