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SIMULACRON: From Camera Observations to Physical Simulations of the 3D World

Project description

Towards a novel concept of dynamic scene understanding in computer vision

Computer vision lies at the intersection of computer science, mathematics, engineering and physics. Focussing on replicating parts of the complexity of the human vision system, it is one of the most powerful types of artificial intelligence. The EU-funded SIMULACRON project will develop a more profound concept of dynamic scene understanding in computer vision. It will focus on inferring the underlying physics (masses, elasticity, momenta and forces) and a simulation of the observed action directly from videos. Specifically, the project will develop algorithms for deformable shape modelling and variational methods for inferring physical simulations from videos. Ultimately, SIMULACRON will lead to a shift from 3D geometry inference to physical simulations inference.

Call for proposal

ERC-2019-ADG
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Host institution

TECHNISCHE UNIVERSITAET MUENCHEN
Address
Arcisstrasse 21
80333 Muenchen
Germany
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 3 500 000

Beneficiaries (1)

TECHNISCHE UNIVERSITAET MUENCHEN
Germany
EU contribution
€ 3 500 000
Address
Arcisstrasse 21
80333 Muenchen
Activity type
Higher or Secondary Education Establishments