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Image representational model for predicting visual distinctness of objects
| Content Provider | CiteSeerX |
|---|---|
| Author | Fdez-Vidal, Xose R. Rodriguez-Siinchez, R. Mtnez-Baena, J. Chamorro, J. |
| Abstract | Here we show that a notion of congruence in statistical structure across 20 frequency bands produces a useful def-inition of visual patterns for perceiving target distinctness. In order to reach such a conclusion,,firstly, the notion of congruence is used to induce a representational model for 20 images. Secondly, the visual-pattern based represen-tational model is used to define a visual target distinctness metric that involves applying a simple decision rule over the distances between the visual patterns. Finally, a relation is established between the computational distinctness metric and psychophysical target distinctness estimates. 1. |
| File Format | |
| Publisher Department | Depto Fisica |
| Access Restriction | Open |
| Subject Keyword | Image Representational Model Visual Distinctness Visual Pattern Target Distinctness Frequency Band Statistical Structure Representational Model Psychophysical Target Distinctness Estimate Useful Def-inition Computational Distinctness Simple Decision Rule Represen-tational Model Visual Target Distinctness |
| Content Type | Text |
