We can emulate
this feature by using a retinotopic sampling grid
obtained by Log-polar mapping in the
complex plane. Due to the particular construction employed, the density
of sampling points decreases exponentially
from the centre to the periphery of the retina.
In order to have a more accurate modellization of the workings of the visual cortex, it is convenient to apply the sampling retina to the Gabor decomposition of an image rather than directly to its grey-level values. Therefore, a vector of Gabor responses is extracted at each retinal point.
The use of a non-uniform sampling grid allows focusing
the computational power on he areas of interest in the image.
Since the grid is made up of a low number of points, computation of Gabor
responses by direct filtering in the image domain becomes convenient. As
a consequence, active vision applicationsare
now within reach.