Resumo

RAMIREZ-MORENO, David F  e  RAMIREZ-VILLEGAS, Juan F. A Computational Implementation of a Bottom-up Visual Attention Model Applied to Natural Scenes. rev.ing. [online]. 2011, n.35, pp.6-11. ISSN 0121-4993.

The bottom-up visual attention model proposed by Itti et al. 2000 [1], has been a popular model since it exhibits certain neurobiological evidence of primates' vision. This work complements the computational model of this phenomenon using a neural network with realistic dynamics. This approximation is based on several topographical maps representing the objects' saliency that construct a general representation (saliency map), which is the input for a dynamic neural network, whose local and global collaborative and competitive interactions converge to the main particularities (objects) presented by the visual scene as well.

Palavras-chave : Computational neurobiology; vision; visual system.

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