1. Introduction
Recent advances in retinal imaging with the scanning laser ophthalmoscope
have led to retina based eye trackers that rival high
end systems like the dual Purkinje image tracker and the magnetic
induction search coil. Eye motion during retinal scans produce artifacts
in the image that distort each recorded frame with shear,
compression, stretch, or twist, depending on the eye motions.
Removal of these distortions allows averaging of multiple frames
for improved signal to noise ratios. This process of removal also
yields a record of the eye motion that occurred during the recording
(Mulligan, 1997; Stevenson, & Roorda, 2005, Stevenson,
Roorda, & Kumar, 2010). This analysis was initially conducted off
line with recorded video. More recently a robust real time tracking
system has been developed that allows stabilization of targets on
chosen retinal locations with precision on the order of an arc minute
so that individual cones can be targeted and stimulated repeat