Modelling the biological perception of faces with artificial intelligence

Article in science magazine “Augenspiegel”: Dr. Katharina Dobs and Leonard van Dyck explain how artificial neural networks have contributed to progress in understanding face perception in recent years.

People's faces usually reflect a wide range of social information. So, it's not surprising that the tendency to pay immediate attention to faces is deeply rooted in our nature. On the one hand, facial recognition allows us to easily distinguish between faces and other objects. On the other hand, facial recognition allows us to associate faces with different identities or persons.

Read the full article in German here