The shape and appearance of a baby’s face-and variety of expressions-often change drastically by adulthood, making it hard to model and predict that change. The research team has posted a paper on the new technique and will present its findings at the June IEEE Computer Vision and Pattern Recognition conference in Columbus, Ohio. “We took photos of children in completely unrestrained conditions and found that our method works remarkably well.” “Aging photos of very young children from a single photo is considered the most difficult of all scenarios, so we wanted to focus specifically on this very challenging case,” says Ira Kemelmacher-Shlizerman, assistant professor of computer science and engineering at the University of Washington. The new technique is the first that works with variable lighting, expressions, and poses, researchers say. New age-progression software generates images of a young child’s face as it ages through a lifetime, and does so in less than a minute.
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