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NAB Show 2023

From Volumetric Video to Realistic Avatars

March 2, 2023 12:00 PM in Eastern Time (US and Canada)

The use of immersive media and extended reality (XR) applications is rapidly increasing in many industries. The digital modelling of humans holds enormous potential for the development of innovative applications as human models can be used as natural and intuitive interfaces. Here, photo-realistic modelling and rendering of virtual humans is extremely important, as the human body and face are highly complex and exhibit large shape variability but also, especially, as humans are extremely sensitive to looking at humans. Volumetric video technology can build highly accurate and photorealistic reconstructions of humans but per se does not allow animation and interactivity. We will address the creation of high-quality animatable models from volumetric video data by the use of modern AI technologies. Furthermore, we will showcase different applications and demonstrate their enormous potential for modern XR applications.

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Anna Hilsmann - Head of Vision & Imaging Technologies Department, Fraunhofer HHI, Berlin

Anna Hilsmann is heading the Vision & Imaging Technologies Departement and the Computer Vision & Graphics Group at Fraunhofer HHI. She received her Dipl.-Ing. degree in Electrical Engineering and Information Technology from RWTH Aachen in 2006 and her Dr.-Ing. degree in Computer Science from HU Berlin in 2014. Her main research interests cover Visual Computing, Computer Vision, Computer graphics, Model-based deep Learning.


PeterEisertPeter Eisert -Head of Vision & Imaging Technologies Department, Fraunhofer HHI, Berlin 
Chair Visual Computing, Humboldt Universität zu Berlin

Chair Visual Computing, Humboldt Universität zu Berlin
Peter Eisert is professor for visual computing at Humboldt University, Berlin and heads the Vision & Imaging Technologies Department of the Fraunhofer HHI, Berlin, Germany. He received the Dr.-Ing. Degree in 2000 from the University Erlangen and worked as postdoctoral fellow at Stanford University. He has published more than 200 conference and journal papers and is an associate editor of the International Journal of Image and Video Processing as well as on the editorial board of the Journal of Visual Communication and Image Representation. His research interests include 3D image analysis and synthesis, face processing, image-based rendering, deep learning, computer vision, and computer graphics