Algorithm Clones Facial Expressions And Pastes Them Onto Other Faces
KentuckyFC writesVarious researchers have attempted to paste an expression from one face on to another but so far with mixed results. Problems arise because these algorithms measure the way a face distorts when it changes from a neutral expression to the one of interest. They then attempt to reproduce the same distortion on another face. That’s fine if the two faces have similar features. But when the faces differ in structure, as most do, this kind of distortion looks unnatural. Now a Chinese team has solved the problem with an algorithm that divides a face into different regions for the mouth, eyes, nose, etc and measures the distortion in each area separately. It then distorts the target face in these specific regions while ensuring the overall proportions remain realistic. At the same time, it decides what muscle groups must have been used to create these distortions and calculates how this would change the topology of the target face with wrinkles, dimples and so on. It then adds the appropriate shadows to make the expression realistic. The result is a way to clone an expression and paste it onto another entirely different face. The algorithm opens the way to a new generation of communication techniques in which avatars can represent the expressions as well as the voices of humans. The film industry could also benefit from an easy way to paste the expressions of actors on to the cartoon characters they voice.