See what a child will look like using automated age-progression software

See what a child will look like using automated age-progression software

Researchers have developed software that automatically generates images of a young child’s face as it ages through a lifetime. The technique is the first fully automated approach for aging babies to adults that works with variable lighting, expressions and poses.

via Top Health News — ScienceDaily:

It’s a guessing game parents like to ponder: What will my child look like when she grows up? A computer could now answer the question in less than a minute.University of Washington researchers have developed software that automatically generates images of a young child’s face as it ages through a lifetime. The technique is the first fully automated approach for aging babies to adults that works with variable lighting, expressions and poses.”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,” said Ira Kemelmacher-Shlizerman, a UW assistant professor of computer science and engineering. “We took photos of children in completely unrestrained conditions and found that our method works remarkably well.”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.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. This technique leverages the average of thousands of faces of the same age and gender, then calculates the visual changes between groups as they age to apply those changes to a new person’s face.More specifically, the software determines the average pixel arrangement from thousands of random Internet photos of faces in different age and gender brackets. An algorithm then finds correspondences between the averages from each bracket and calculates the average change in facial shape and appearance between ages. These changes are then applied to a new child’s photo to predict how she or he will appear for any subsequent age up to 80.The researchers tested their rendered images against those of 82 actual people photographed over a span of years. In an experiment asking random users to identify the correct aged photo for each example, they found that users picked the automatically rendered photos about as often as the real-life ones.”Our extensive user studies demonstrated age progression results that are so convincing that people can’t distinguish them from reality,” said co-author Steven Seitz, a UW professor of computer science and engineering. “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.”Real-life photos of children are difficult to age-progress, partly due to variable lighting, shadows, funny expressions and even milk moustaches. To compensate for these effects, the algorithm first automatically corrects for tilted faces, turned heads and inconsistent lighting, then applies the computed shape and appearance changes to the new child’s face.Perhaps the most common application of age progression work is for rendering older versions of missing children. …

For more info: See what a child will look like using automated age-progression software

Top Health News — ScienceDaily

See what a child will look like using automated age-progression software

Utilizzando il sito, accetti l'utilizzo dei cookie da parte nostra. maggiori informazioni

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close