Implementations and Implications of Foveated Vision
Recent Patents on Computer Science,
Volume 2,
Number 1,
pages 75--85,
doi: 10.2174/2213275910902010075
- Dec 2009
Humans are equipped with "space-variant" vision, i.e. a concentration of photoreceptors, retinal ganglion cells
and other visual resources at the central fovea, and a sparser coverage of other regions within a wide 180 degree field of
view. If the entire visual field was equipped with foveal ganglion cell resolution, then the brain would have to cope with
approximately 350 times more visual information.
We will review the relatively small number of existing hardware implementations and patents involving space variant
vision. Space-variant vision is challenging to implement, because it comes along with distorted image representations,
complicating standard geometry-based processing. Recent learning algorithms for feature detection and transformations
are more flexible and may cope with foveated images.
Foveated vision requires an active vision system: ballistic eye-movements termed "saccades" frequently move the fovea to
points of interest in the visual field. The metric of saccades is adjustable, and the resolution increase at the fovea may play
a role in supplying the feedback to the system. Furthermore, saccades are related to visual space perception and embodied
vision.
@Article{WT09a, author = {Weber, Cornelius and Triesch, Jochen}, title = {Implementations and Implications of Foveated Vision}, journal = {Recent Patents on Computer Science}, number = {1}, volume = {2}, pages = {75--85}, year = {2009}, month = {Dec}, publisher = {Bentham Science}, doi = {10.2174/2213275910902010075}, }