“When shown images of an age-progressed child photo and a photo of the same person as an adult, people are unable to reliably identify which one is the real photo.” “Our extensive user studies demonstrated age progression results that are so convincing that people can’t distinguish them from reality,” said Steven Seitz, a professor of computer science and engineering at the University of Washington, in a press release. Such a technique can predict a person’s future features up to the age of 80-a potentially useful tool for both police investigations and curious netizens who want to know what their future might bring. It calculates the averages from the visual changes of the faces in online photos, and then applies the changes to the child’s photo. The new software works its predictive magic by using thousands of faces of the same age and gender as the young child in question. The world’s first automated aging software can make a set of predictions based on a photo of a child’s face and then turn out a series of images illustrating those guesses-all in about 30 seconds on a standard computer. Parents who want to know how their baby might look as an adult could eventually see their child’s visual transformation from a toddler to an 80-year-old in less than a minute.
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