PC Detects Female Attractiveness
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.â€
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.â€
Trend Themes
1. Beauty Recognition Software - The development of software that can identify and interpret attractiveness in women has potential for disrupted beauty industry products and advertising.
2. AI Beauty Products - Artificial intelligence applications can be used to analyze features and develop customized beauty products based on individual facial features and preferences.
3. Virtual Try-on Technology - The program demonstrates the disruptive potential of AI-assisted virtual makeup technology that can accurately recommend customized colors and cosmetic products based on a client's facial features.
Industry Implications
1. Beauty Industry - The beauty industry can use this software to identify trending facial features to develop customized beauty products and advertising campaigns.
2. Fashion Industry - Fashion industry retailers may use similar technology to personalize clothing, accessories, and makeup recommendations based on a customer's facial features.
3. Consumer Technology - The development of this software demonstrates the potential for other consumer technology applications, such as personalized medical diagnoses based on facial features and recognition.
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