Computational modelling of visual attention
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Laurent Itti
· California Institute of Technology
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Laurent Itti is a registered researcher in their academic field.
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A model of saliency-based visual attention for rapid scene analysis
A visual attention system, inspired by the behavior and the neuronal architecture of the early primate visual system, is presented. Multiscale image features are combined into a single topographical saliency map. A dynamical neural network then selects attended locations in order of decreasing saliency. The system breaks down the complex problem of scene understanding by rapidly selecting, in a computationally efficient manner, conspicuous locations to be analyzed in detail.
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