Project description
Revolutionising the realm of visual 3D perception
In today's digital age, understanding the 3D spatial semantics of our world is a paramount challenge. Real-world environments, rich in complexity, demand comprehension in their true three-dimensional context, even when observed through 2D images. Yet, achieving robust 3D semantic reasoning from visual data, like RGB or RGB-D observations, remains in its infancy, hindered by limited real-world 3D data and the intricate, high-dimensional nature of the problem. With this in mind, the ERC-funded SpatialSem project aims to harness the power of 3D perception, and lay the foundation for groundbreaking advancements in machine perception, immersive communication, mixed reality, as well as architectural and industrial modelling. Specifically, the project aims to shift the focus from image-based reasoning to a spatially-consistent, 3D representation.
Objective
Understanding the 3D spatial semantics of the world around us is core to visual perception and digitization -- real-world environments are spatially three-dimensional, and must be understood in its 3D context, even from 2D image observations. This will lead to spatially-grounded reasoning and higher-level perception of the world around us. Such 3D perception will provide the foundation for transformative, next-generation technology across machine perception, immersive communications, mixed reality, architectural or industrial modeling, and more. This will enable a new paradigm in semantic understanding that derives primarily from a spatially-consistent, 3D representation rather than relying on image-based reasoning that captures only projections of the world. However, 3D semantic reasoning from visual data such as RGB or RGB-D observations remains in its infancy, due to challenges in learning from limited amounts of real-world 3D data, and moreover, the complex, high-dimensional nature of the problem. In this proposal, we will develop new algorithmic approaches to effectively learn robust visual 3D perception, with new learning paradigms for features, representations, and operators, to encompass 3D semantic understanding.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2022-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
80333 Muenchen
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.