Beauty Personalization in Augmented Reality and Connected Devices
At the core of L’Oréal’s vision is the personalization of beauty in order to address the demands of the extremely diverse populations. This talk will focus on the usage of machine learning in augmented reality applications and connected devices that allow us not only to personalize our final beauty products but also the user experience. Machine learning has a dual role in our tasks through the exploitation of the huge amount of available data and the recent advances in computer vision that helped the emergence of augmented reality.
Panagiotis-Alexandros is an augmented reality engineer at L’Oréal working on AR solutions for beauty personalization in the group of Applied Optics and Algorithms. In 2016, he obtained his PhD in computer science from the University of Paris-Saclay, where he focused on video-projected augmented reality. He followed the EIT Digital doctoral programme on ICT Innovation during which he performed a part of his PhD research at the University College London. He holds the Erasmus Mundus Master Degree CIMET and a Diploma in Engineering from the University of Patras