A team of computer scientists at Tel Aviv University have developed an algorithm that makes people in pictures more attractive:

This sketch presents a novel method for digital face beautification: given a frontal photograph of a face (a portrait), our method automatically increases the predicted attractiveness rating of the face. The main challenge is to achieve this goal while introducing only minute, subtle modifications to the original image, such that the resulting “beautified” face maintains a strong, unmistakable similarity to the original, as demonstrated by the pair of faces shown in Figure 1.

The algorithm makes minor adjustments so that the picture is more attractive, but still recognizable as the original subject.

Pseudo-scientifically, it works by taking the original picture and comparing it to optimal hotness (also called the Dave Dworin Point), and then makes minor adjustments to reconcile the two. Or something else involving math.

Categories: Israel, Photos, Science, Technology