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We take specific facial features. Very simple things like nose length is quite unique for that person, so we look at nose length, the width of the nose, the distance between eyes. So these are facial features that the computer recognizes as the person. So we take these - roughly 30 to 40 facial features we take from the face - and we use these facial features; we map it into the machine and then we produce the age, so what we've done in the case of George, we've taken his picture and then we've actually taken facial features and then aged him. We've also, in some experiments, what we've done is we've taken the parental information and then also applied the parental information and aged him as well.
Found on Reuters 9 years ago
We can actually look at a child's pictures, we can incorporate all the pictures available, we can also add information from parents, parental facial features, grandparental facial features if available and also other relatives in the family. So we can take all that information so the accuracy that we can predict would be much, much better compared to the current existing technology.
Found on Reuters 9 years ago
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