@InProceedings{GomesFish:2001:LeExPr,
author = "Gomes, Herman Martins and Fisher, Robert B.",
title = "Learning and extracting primal-sketch features in a log-polar
image representation",
booktitle = "Proceedings...",
year = "2001",
editor = "Borges, Leandro D{\'{\i}}bio and Wu, Shin-Ting",
pages = "338--345",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 14.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
note = "The conference was held in Florian{\'o}polis, SC, Brazil, from
October 15 to 18.",
keywords = "feature extraction, primal-sketch, log-polar, neural networks,
PCA.",
abstract = "This paper presents a novel and more successful learning based
approach to extracting low level features in a retina-like
(log-polar) image representation. The low level features (edges,
bars, blobs and ends) are based on Marr's primal sketch hypothesis
for the human visual system [10]. The feature extraction process
used a neural network that learns examples of the features in a
window of receptive fields of the image representation. An
architecture designed to encode the feature's class, position,
orientation and contrast has been proposed and tested. Success
depended on the incorporation of a function to normalises the
feature's orientation and a PCA pre-processing module to produce
better separation in the feature space.",
conference-location = "Florian{\'o}polis, SC, Brazil",
conference-year = "15-18 Oct. 2001",
doi = "10.1109/SIBGRAPI.2001.963074",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2001.963074",
language = "en",
organisation = "SBC - Brazilian Computer Society",
ibi = "6qtX3pFwXQZeBBx/wpAfU",
url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/wpAfU",
targetfile = "338-345.pdf",
urlaccessdate = "2024, Apr. 28"
}