A comparison of Gabor filter methods
Fasel, I.R., Smith, E.C., Bartlett, M. S., and Movellan, J.R.
for automatic detection of
Proceedings of the 7th Symposium on Neural Computation, 2000, pg. 44-50.
This paper presents a systmatic analysis of Gabor filter banks for
detection of facial landmarks (eyes and philtrum) on the FERET
database. Sensitivity is assessed using the A' statistic, a nonparametric
estimate of optimal performance commonly used in the psychophysical
literature. We find that current Gabor filter bank systems are overly
complex. Performance can be greatly improved by reducing the number of
frequency and orientation components in these systems. With a single
frequency band, we obtained performances significantly better than those
achievable with current systems that use multiple frequency bands. Best
performance for eye location was obtained with filter banks peaking at 4
iris widths per cycle and 8 orientations. Best performance for philtrum
location was achieved with filter banks with 5.5 iris widths per cycle and