Everyone’s done this type of amateur Sherlock Holmes evaluation since they were born. But now, at the intersection of a facial-recognition technologist, a doctor, and Big Data, the studies might just prove both true and useful.
What Face My Age’s technology does (differently than Microsoft’s How-Old.net) is map an accurate and well-lit photo of you with 250 sample points spread out across 6 zones of the face.
It then uses a modified type of facial recognition software to look for the signs of aging in those regions. -Things like Crow’s Feet, Laugh Lines, Brow Lines, etc. are all taken into account, along with the age and other facts you supply the website.
Then, out the other end of the server’s algorithm shoots an Estimate, which of-course tells you how old the system thinks you look according to its model. No word yet on whether it steals your soul. -So probably: Yes on that.
Anyway, based on your estimate, you can get an indicator of how fast or slow you’re going, and thus a little push to get back into some good habits. (God, I hope some of those involve looking at boobs while playing an awesome electric bass solo!)
If Jay Olshansky’s predictions are right, perhaps one day in the future highly-accurate scans of your face can be compared to a much-bigger database with better algorithms and give even more insightful and less general recommendations, or at least a better piece in a bigger-mosaic.
-Is there anything Big Data won’t eventually be able to do? Check out the Details at the Links:
Photo Credits: “Happy winter face”, by Sven Golz
• Source: FaceMyAge
• via: WashingtonPost
• More Coverage: Microsoft’s Less-Scientific Competitor, How-Old.net
• Source Study: Age&Aging-“Influence of environmental factors on facial ageing”