CORDIS Project
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This project develops advanced methods for capturing and reconstructing dynamic 3D scenes in real-time. By utilizing innovative algorithms and machine learning, it aims to improve the fidelity and efficiency of 4D reconstruction for various applications, including virtual and augmented reality.
4D reconstruction, the camera-based dense dynamic scene reconstruction, is a grand challenge in computer graphics and computer vision.
Despite great progress, 4D capturing the complex, diverse real world outside a studio is still far from feasible. 4DRepLy builds a new generation of high-fidelity 4D reconstruction (4DRecon) methods.
They will be the first to efficiently capture all types of deformable objects (humans and other types) in crowded real world scenes with a single color or depth came…
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
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