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CORDIS

Hyperrealistic Imaging Experience

Objective

The aim of realistic digital imaging is the creation of high quality imagery, which faithfully represents the physical
environment. The ultimate goal is to create images, which are perceptually indistinguishable from a real scene. The
RealVision network brings together leading universities, centers focused on industrial development and companies in
Multimedia, Optics, Visual Communication, Visual Computing, Computer Graphics and Human Vision research across
Europe, with the aim of training a new generation of scientists, technologists, and entrepreneurs that will move Europe into a
leading role in innovative hyper-realistic imaging technologies. Current imaging technologies capture only a fraction of visual
information that the human eye can see. The colours and dynamic range are inadequate for most real-world scenes and not
all depth cues required for natural 3D vision are captured. This limits the realism of the experience and has hampered the
introduction of 3D technology. Advancement in imaging technologies makes it possible to circumvent these bottlenecks in
visual systems. As a result, new visual signal-processing areas have emerged such as light fields, ultra-high definition,
highframe
rate and high dynamic range imaging. The novel combinations of those technologies can facilitate a hyper-realistic
visual experience. This will without doubt be the future frontier for new imaging systems. However there are several
technological barriers that need to be overcome as well as challenges in what are the best solutions perceptually. The goal
of this network is to combine expertise from several disciplines as engineering, computer science, physics, vision science
and psychology – usually disconnected – and train ESRs to be capable of working with all stages and aspects of visual
processing to overcome existing interdisciplinary and intersectorial barriers to efficiently develop truly perceptually better
visual imaging systems.

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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

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.

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.

MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)

See all projects funded under this funding scheme

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-MSCA-ITN-2017

See all projects funded under this call

Coordinator

DANMARKS TEKNISKE UNIVERSITET
Net EU contribution

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.

€ 580 163,76
Address
ANKER ENGELUNDS VEJ 101
2800 Kongens Lyngby
Denmark

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Region
Danmark Hovedstaden Københavns omegn
Activity type
Higher or Secondary Education Establishments
Links
Total cost

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.

€ 580 163,76

Participants (10)

Partners (11)

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