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dc.contributor.authorLoscos, Celineen_US
dc.contributor.authorSouchet, Philippeen_US
dc.contributor.authorBarrios, Théoen_US
dc.contributor.authorValenzise, Giuseppeen_US
dc.contributor.authorCozot, Rémien_US
dc.contributor.editorHahmann, Stefanieen_US
dc.contributor.editorPatow, Gustavo A.en_US
dc.date.accessioned2022-04-22T11:45:56Z
dc.date.available2022-04-22T11:45:56Z
dc.date.issued2022
dc.identifier.isbn978-3-03868-172-4
dc.identifier.issn1017-4656
dc.identifier.urihttps://doi.org/10.2312/egt.20221054
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egt20221054
dc.description.abstractThe collaborators of the ReVeRY project address the design of a specific grid of cameras, a cost-efficient system that acquires at once several viewpoints, possibly under several exposures and the converting of multiview, multiexposed, video stream into a high quality 3D HDR point cloud. In the last two decades, industries and researchers proposed significant advances in media content acquisition systems in three main directions: increase of resolution and image quality with the new ultra-high-definition (UHD) standard; stereo capture for 3D content; and high-dynamic range (HDR) imaging. Compression, representation, and interoperability of these new media are active research fields in order to reduce data size and be perceptually accurate. The originality of the project is to address both HDR and depth through the entire pipeline. Creativity is enhanced by several tools, which answer challenges at the different stages of the pipeline: camera setup, data processing, capture visualisation, virtual camera controller, compression, perceptually guided immersive visualisation. It is the experience acquired by the researchers of the project that is exposed in this tutorial.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies --> Computational photography; Image processing; Virtual reality; Perception; 3D imaging
dc.subjectComputing methodologies
dc.subjectComputational photography
dc.subjectImage processing
dc.subjectVirtual reality
dc.subjectPerception
dc.subject3D imaging
dc.titleFrom Capture to Immersive Viewing of 3D HDR Point Cloudsen_US
dc.description.seriesinformationEurographics 2022 - Tutorials
dc.description.sectionheadersTutorials
dc.identifier.doi10.2312/egt.20221054


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License