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H2020Докторантска мрежа2018–2022

RealVision · Hyperrealistic Imaging Experience

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период
2018-01-01 → 2022-06-30
Финансиране от ЕС
4 076 702 €
Участници
22
Схема
MSCA-ITN

Линиите свързват координатора с партньорите.

Накратко на български

Дигиталните изображения и видео се изследват, за да изглеждат идентични с реалната среда. Това помага за подобряване на качеството на визуализацията и предаването на визуалното съдържание в индустрията.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Hyperrealistic Imaging Experience

RealVision focusses on realistic digital imaging and video aiming to create accurate, 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 main goal of the network was achieved producing the next generation of ESRs, who are trained to work across disciplinary and sectorial boundaries and therefore contributing to step-changes in both research and technology development relating to hyper-realistic digital imaging. The RealVision network trained the ESRs to be capable of working in all stages of the visual processing chain. The network is organized in 5 scientific goals, each reflecting a stage in the signal chain of Acquisition, Processing, Display, Perception and Quality of Experience. Complemented by education in entrepreneurship and innovation, these will contribute to move Europe into a leading position in scientific and technological innovation in the area of hyper-realistic imaging, encoding and display technology. The main scientific objective is to understand, analyse and control the steps of the entire signal path to be able to deliver the highest level of realism for specific applications and requirements based on a dual framework of the physical representations and the perception of the visual content. The major high-lights listed below and all the scientific publications, and the trained ESRs is anticipated to have a great impact for the visual industry and scientific community, in Europe and internationally. This impact will be strengthened by the high-quality data sets developed and made publicly available, as is also the case for selected software.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The aim of realistic digital imaging is the creation of high quality imagery, which faithfully represents the physicalenvironment. The ultimate goal is to create images, which are perceptually indistinguishable from a real scene. TheRealVision network brings together leading universities, centers focused on industrial development and companies inMultimedia, Optics, Visual Communication, Visual Computing, Computer Graphics and Human Vision research acrossEurope, with the aim of training a new generation of scientists, technologists, and entrepreneurs that will move Europe into aleading role in innovative hyper-realistic imaging technologies. Current imaging technologies capture only a fraction of visualinformation that the human eye can see. The colours and dynamic range are inadequate for most real-world scenes and notall depth cues required for natural 3D vision are captured. This limits the realism of the experience and has hampered theintroduction of 3D technology. Advancement in imaging technologies makes it possible to circumvent these bottlenecks invisual systems. As a result, new visual signal-processing areas have emerged such as light fields, ultra-high definition,highframerate and high dynamic range imaging. The novel combinations of those technologies can facilitate a hyper-realisticvisual experience. This will without doubt be the future frontier for new imaging systems. However there are severaltechnological barriers that need to be overcome as well as challenges in what are the best solutions perceptually. The goalof this network is to combine expertise from several disciplines as engineering, computer science, physics, vision scienceand psychology – usually disconnected – and train ESRs to be capable of working with all stages and aspects of visualprocessing to overcome existing interdisciplinary and intersectorial barriers to efficiently develop truly perceptually bettervisual imaging systems.

Оригинален текст от CORDIS (на английски).

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Данни: CORDIS, © Европейски съюз