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Thu, 03 Oct



Human-centric Computer Vision for Mixed Reality (part 1)

Hosted by Prof. Philipp Fürnstahl & Prof. Siyu Tang (tbc) Organizer and Session Chair: Dr. Manuel Kaufmann, Dr. Flora Vajda, Dr. Christina Tsalicoglou

Human-centric Computer Vision for Mixed Reality (part 1)
Human-centric Computer Vision for Mixed Reality (part 1)

Time & Location

03 Oct 2024, 09:30

Zürich, Elias-Canetti-Strasse 146, 8050 Zürich, Switzerland

About the event

In Human-Centric Computer Vision we aim to build methods and representations to  better understand how humans move within the physical world and interact with it.  Progress in this domain offers to unlock a number of appealing applications. In this track we set out to highlight these latest advances for mixed reality applications, where the physical world can be reconstructed and augmented with interactive features and generated objects. For instance, medical AR applications can improve the learning process for medical professionals, telepresence can enable more efficient remote meetings, and AR can provide fascinating immersive experiences for entertainment. Further, we provide segments on biomedical applications that benefit from human-like machine perception such as personalized health assistants that can, e.g., automatically diagnose and prevent movement pathologies, support cost-effective rehabilitation in patient’s homes, or provide an expert level fitness coach from the comfort of people’s smartphones.

Learning Objectives The field of Human-Centric Computer Vision is very diverse. The goal of this workshop is to give the audience a broad overview of:

a) which aspects of the human state practitioners in academia and industry are interested in modeling, 

b) what kind of technology is used to capture the physical world in the first place, and 

c) the applications of mixed reality. Professionals from industry, academia, and start-ups will present their latest research, discuss challenges, and outline future prospects around the topic, showcasing the expertise offered by institutions in and around Zurich. 

We will close the track with demos, providing real-word examples of what is possible with the current technologies in the field.

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