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>Face tracking in augmented and virtual reality

Face tracking in augmented and virtual reality

Face tracking technology is used to detect and track feature points on human faces. It serves as a foundation for many important functions – from determining the head position and gaze direction to detecting facial expressions and creating 3D models necessary for graphical augmentations. Among various useful applications of these functions, the most fascinating ones are related to AR and VR. A possibility to virtually try on makeup, glasses, or jewellery is a must-have for brands in cosmetics, beauty, eyewear, and lifestyle industries, while facial masks are an entertaining addition in games and specific marketing apps.

Nowadays, facial augmentations are not implemented only in smartphone apps, but they also appear on other devices such as smart mirrors. The realm of VR is characterized by another set of goals in terms of making virtual avatars more realistic, with facial expressions that reflect those of the actual users. In order to win opportunistic positions in the intensively forming market, vendors are trying to improve social experiences in virtual reality and make their platforms more immersive. On their paths, they face interesting technical opportunities due to demanding expectations of seamless performance in various conditions. This talk is about all different use cases of face tracking in AR and VR with a brief technical background and a lot of market insights, brought by Visage Technologies, one of the leading companies in the field of face tracking.

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About The Speaker


Gordan Kreković

Gordan Kreković is the Management Advisor at Visage Technologies, a company specialized in computer vision technology and the leading provider of face tracking and analysis solutions. Gordan has a PhD in Computer Science and 9 years of experience in managing software products, teams, and departments. His professional career started in NTH Group where he worked as a Product Manager for multiple back-end platforms and later as a Head of Product Management. The next step was a CEO position at AdCumulus, a company within NTH Group focused on developing software products for mobile and online advertising, where he managed strategic and operational aspects during the fast-scaling phase. Putting more focus on engineering and research topics, Gordan took the position of the Head of Data Science Team in Bellabeat where he created the concept of an AI-powered chatbot health coach and worked on several machine learning algorithms for wearable devices. Gordan is also an active independent researcher with continuous engagement in the scientific community.
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