Facial Asymmetry is a familiar measure of attractiveness and has been used to evaluate expressions by psychologists. A new technical report from the CMU Robotics Institute proposes facial asymmetry as a new biometric for face recognition software. According to the paper by Yanxi Liu, the asymmetry of specific facial regions captures individual differences that are unaffected by facial expression and orthogonal to more traditional face recognition algorithms.