A Biologically Inspired Framework for Visual Information Processing and an Application on Modeling Bottom-Up Visual Attention
An emerging trend in visual information processing is toward incorporating some interesting properties of the ventral stream in order to account for some limitations of machine learning algorithms. Selective attention and cortical magnification are two such important phenomena that have been the subject of a large body of research in recent years. In this paper, we focus on designing a new model for visual acquisition that takes these important properties into account.
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Bibtex@article{AboGriCop20169,
author = {Ala Aboudib and Vincent Gripon and Gilles
Coppin},
title = {A Biologically Inspired Framework for
Visual Information Processing and an Application on
Modeling Bottom-Up Visual Attention},
journal = {Cognitive Computation},
year = {2016},
pages = {1--20},
month = {September},
}