Improvements in Face Recognition
Ignore the laughable “100% accurate” claim; this is an interesting idea:
Mike Burton, Professor of Psychology at Glasgow, and lecturer Rob Jenkins say they achieved their hugely-improved results by eliminating the variable effects of age, hairstyle, expression, lighting, different camera equipment etc. This was done by producing a composite “average face” for a person, synthesised from twenty different pictures across a range of ages, lighting and so on.
Not useful when you only have one grainy photograph of your target, but interesting research nonetheless.
Dr. • February 11, 2008 7:35 AM
I’d be worried this would lead to a lot of false positives, though… What would we get if we fed in pictures of two different people to average?