Training computers to see
Computer vision is an area of artificial intelligence (AI). The goal of computer vision is to equip machines with a visual understanding of their environment, ultimately enabling computers to identify objects in images and videos just like humans do. Much of the recent progress in computer vision builds on machine learning techniques that learn visual representations from large human annotated datasets. However, labeling data for training deep models is expensive and existing photo-realistic simulators do not provide the required variety and fidelity. The EU-funded project LEGO-3D will tackle this problem by developing probabilistic models capable of synthesizing 3D scenes jointly with photo-realistic 2D projections from arbitrary viewpoints and with full control over the scene elements. It will devise algorithms for automatic decomposition of real and synthetic scenes into latent 3D representations capturing geometry, material, light and motion.
Fields of science
Call for proposal
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