Facial Attractiveness and Relative Ranking

Automatic evaluation of human facial attractiveness is a challenging problem that has received little attention from the computer vision community. Here, we approach beauty from a relative ranking perspective. Our training data are faces sorted based on a individuals's personal preference, which we use to learn how to rank novel faces according to that person's taste.