1995
@inproceedings{KuG1995,
vgclass = {refpap},
author = {Turker Kuyel and Joydeep Ghosh},
title = {A fast space localized computation of the outputs of a
{G}abor filter bank},
booktitle = {Proceedings of the IASTED Conference on Signal and Image Processing (SIP'95)},
address = {Las Vegas, USA},
pages = {511--514},
month = {November},
year = {1995},
abstract = {Gabor filters have been widely used for modeling cortical
cell frequency and orientation selectivity properties, as well as for
image processing routines including segmentation and shape-from-texture
[1], [2], [3]. Because there are many frequency and orientation
selective channels in the early visual cortex, the computation of
multiple Gabor filter outputs are necessary for the computational
modeling of the human visual cortex. However, obtaining the outputs of
these frequency and space localized Gabor filters is computationally
very expensive. A local Fourier transform based technique is proposed
to compute the outputs of multiple Gabor filters. Significant speedup,
approaching one order of magnitude is obtained over the standard FFT
based convolution for the computation of multiple Gabor filter outputs.
This algorithm saved many hours of processing time in the simulations
of the human cortical processing we have been performing on the
massively parallel computer, the MasPar MP-1104.},
}