Beauty Recognition Software

More than 2,000 years ago the Greek philosopher and mathematician Pythagoras observed the connection between math, geometry and beauty. He reasoned that features of physical objects corresponding to the “golden ratio” were considered most attractive. Though the saying goes “Beauty is in the eye of the beholder”, this time the beholder is a computer. Scientists at Tel Aviv University have developed computer software that can successfully “interpret attractiveness in women.” Recognizing “beauty” in men might be the next step, but it is more difficult. Psychological research has shown that there is less agreement as to what defines “male beauty” among human subjects. The software developer Amit Kagian said, “Until now, computers have been taught how to identify basic facial characteristics, such as the difference between a woman and a man, and even to detect facial expressions. But our software lets a computer make an aesthetic judgment. Linked to sentiments and abstract thought processes, humans can make a judgment, but they usually don’t understand how they arrived at their conclusions.” In the first step of the study, 30 men and women were presented with 100 different faces of Caucasian women, roughly of the same age, and were asked to judge the beauty of each face. The subjects rated the images on a scale of 1 through 7 and did not explain why they chose certain scores. Kagian and his colleagues then went to the computer and processed and mapped the geometric shape of facial features mathematically. Additional features such as face symmetry, smoothness of the skin and hair color were fed into the analysis as well. Based on human preferences, the machine "learned" the relation between facial features and attractiveness scores and was then put to the test on a fresh set of faces. (physorg)

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