Objective
Real-life applications of computer vision often require high-quality visual sensors. With current technology, such sensors are expensive. Empirical evidence from our ERC-funded research of biological vision suggests that eye motion enhances recognition capabilities beyond what could be expected if the eye was functioning as a static camera. Motivated by these findings, here we aim to perform the major computer vision tasks required for many real-life applications, including segmentation, classification and identification, with low-resolution cameras. The idea is to use a series of low-resolution frames from a moving camera, rather than using a single high-resolution image. This novel algorithm, termed here DRVis, can be implemented in software or hardware. Unlike existing solutions that use multiple frames to reconstruct a high resolution image from low resolution ones, DRVis does not need to learn all the particularities needed for reconstruction; instead, it focuses on extracting the necessary features per the given task. The goals of the PoC project are to scale up and diversify our current software system, implement the system in hardware and demonstrate its performance in field conditions and develop the IPR strategy and explore the commercialization potential of our solution. We expect it will be applicable to a wide spectrum of image processing tasks in settings where sensor quality is low but multiple time samples are available including smart agriculture, drone navigation and visual aid devices.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics autonomous robots drones
- agricultural sciences agriculture, forestry, and fisheries agriculture
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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)
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.
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-POC - HORIZON ERC Proof of Concept 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-POC1
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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.
7610001 Rehovot
Israel
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.