AG 1, AG 2, AG 3, INET, AG 4, AG 5, D6, SWS, RG1, MMCI   Info

Public Audience

English

60 Minutes

Saarbrücken

The earliest paintings depicting a human date back to the Stone Age. Since that, sensing devices have been improved and nowadays, digital sensing can be found in everyone’s home. Nonetheless, the main element in many image compositions still is the human, i.e. most of the images one finds in the media, such as on the Internet or in textbooks and magazines, contain humans as the main point of attention. Since sensing of humans became more accurate, automated, affordable, and most importantly digital, it comes along with many opportunities in downstream applications such as telepresence, AR/VR, and health care, to only name a few. At the same time, this development also introduces major challenges, since raw sensing measurements cannot be immediately processed by those applications. Instead, it requires algorithms, which are capable of automatically analyzing human-related information and even synthesizing new content. In this talk, I will present some of our recent methods on the analysis and synthesis (rendering) of humans from digital measurements on the basis of Graphics, Vision, and Machine Learning concepts.

Jennifer Müller

+49 681 9325 2900

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