Objective
In many application domains all over the world there is a trend from “single-view imaging” towards “multi-view imaging”. Some examples are the introduction of 3D/4D imaging in Healthcare, High Definition TV and beyond in Broadcasting, multiple connected Surveillance Cameras for monitoring a scene. These applications have in common that they all involve an explosive growth in the generation of images and the need for real time handling of images and data. The question arises how to deal with this growth of complexity.
Breakthrough technologies are needed to make imaging applications, such as the ones described above, handle the more and more demanding requirements concerning image quality and reliability and speed of image analysis:
• Image acquisition needs to become much more intelligent about what data to acquire
• Multi-view video processing requires sophisticated inter-camera calibration tools and sophisticated algorithms
• Acquisition devices will also need to become more context-aware: devices should be aware of the existence of other cameras.
Project Objectives
PANORAMA will provide autonomous image acquisition, tightly coupled to the image sensor by research, development and demonstrating generic breakthrough technologies and hardware architectures for a broad range of imaging applications. Object segmentation is a basic building block of many intermediate and low level image analysis methods. It will be used in an X-ray system to locate anatomical regions of interest. In broadcast applications, it can find people’s faces and optimize Image Quality. In a multi-camera setup these imaging parameters will be optimized to provide a consistent display of faces.
On completion PANORAMA will deliver solutions for applications in medical imaging, broadcasting systems and security & surveillance, all of which face similar challenging issues in the real time handling and processing of large volumes of image data.
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.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- engineering and technology medical engineering diagnostic imaging
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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.
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.
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.
ENIAC-2011-1
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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.
JTI-CP-ENIAC - Joint Technology Initiatives - Collaborative Project (ENIAC)
Coordinator
5684 PC BEST
Netherlands
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Participants (16)
4827 HG BREDA
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5612 AE Eindhoven
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4181AE Waardenburg
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2803 WV Gouda
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9410 AD Beilen
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92150 SURESNES
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75272 Paris
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42570 SAINT HEAND
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78153 Le Chesnay Cedex
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LS2 9JT Leeds
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BT9 5DJ Belfast
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9050 GENT
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2600 ANTWERPEN
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20864 Agrate Brianza
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95131 CATANIA
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