Objective
Current displays fall far short of truly recreating visual reality. This can never be achieved by painting an image on a flat surface such as a TV screen, but requires a full-parallax display which can recreate the complete lightfield, i.e. the light traveling in every direction through every point in space. Recent years have seen major developments towards this goal, promising a new generation of ultra-realistic displays with applications in medicine, informatics, manufacturing, entertainment, gaming and more. However, achieving this will require a new generation of researchers trained both in the relevant physics, and in the biology of human vision. The European Training Network on Full-Parallax Imaging (ETN-FPI) aims at developing this new generation. The research concept of the network is to depart from the notations of plenoptics, light field and integral imaging, used sometimes interchangeably, and to harmonize and advance further the research in these areas under the umbrella of the wider and viewer-centred FPI concept. Fifteen early-stage researchers will be employed on novel inter-disciplinary FPI projects. The training disciplines include theoretical and applied optics, multi-dimensional image processing, and visual neuroscience. The targeted applications range from plenoptic microscopy to interaction with visual content generated by wide field-of-view displays. Extensive studies on perception of continuous parallax and subjective tests on various displays are planned. The training program includes local training, online seminars, workshops, training schools and a conference. The researchers trained within the network are expected to gather competitive skills and become highly competent in bringing innovations to the field of ultra-realistic and interactive visual media. This will enhance their employability in a rapidly growing sector in academia and industry and position Europe as a leader in this emerging multidisciplinary field.
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.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Programme(s)
Funding Scheme
MSCA-ITN-ETN - European Training NetworksCoordinator
33100 Tampere
Finland
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Participants (7)
85170 Sundsvall
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46010 Valencia
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NE1 7RU Newcastle Upon Tyne
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24118 Kiel
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80686 Munchen
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1192 Budapest
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
24118 Kiel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (8)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
00240 Helsinki
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
33720 Tampere
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
40549 Dusseldorf
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
24106 Kiel
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
Barcelona
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
639798 Singapore
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
DE-28865 Lillienthal
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1088 Budapest
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