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Dissociated Dipoles: Image representation via non-local comparisons

dc.date.accessioned2004-10-20T21:05:11Z
dc.date.accessioned2018-11-24T10:23:39Z
dc.date.available2004-10-20T21:05:11Z
dc.date.available2018-11-24T10:23:39Z
dc.date.issued2003-08-13en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/7276
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/7276
dc.description.abstractA 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.en_US
dc.format.extent15 p.en_US
dc.format.extent691165 bytes
dc.format.extent974071 bytes
dc.language.isoen_US
dc.subjectAIen_US
dc.subjectimage representationen_US
dc.subjectrecognitionen_US
dc.subjectnon-local filteringen_US
dc.titleDissociated Dipoles: Image representation via non-local comparisonsen_US


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