Fast and Fine Disparity Reconstruction for Wide-baseline Camera Arrays with Deep Neural Networks

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dc.contributor.authorBarrios, Théoen_US
dc.contributor.authorGerhards, Julienen_US
dc.contributor.authorPrévost, Stéphanieen_US
dc.contributor.authorLoscos, Celineen_US
dc.contributor.editorSauvage, Basileen_US
dc.contributor.editorHasic-Telalovic, Jasminkaen_US
dc.date.accessioned2022-04-22T07:54:26Z
dc.date.available2022-04-22T07:54:26Z
dc.date.issued2022
dc.description.abstractRecently, disparity-based 3D reconstruction for stereo camera pairs and light field cameras have been greatly improved with the uprising of deep learning-based methods. However, only few of these approaches address wide-baseline camera arrays which require specific solutions. In this paper, we introduce a deep-learning based pipeline for multi-view disparity inference from images of a wide-baseline camera array. The network builds a low-resolution disparity map and retains the original resolution with an additional up scaling step. Our solution successfully answers to wide-baseline array configurations and infers disparity for full HD images at interactive times, while reducing quantification error compared to the state of the art.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEurographics 2022 - Posters
dc.identifier.doi10.2312/egp.20221007
dc.identifier.isbn978-3-03868-171-7
dc.identifier.issn1017-4656
dc.identifier.pages17-18
dc.identifier.pages2 pages
dc.identifier.urihttps://doi.org/10.2312/egp.20221007
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egp20221007
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; 3D imaging; Neural networks; Reconstruction
dc.subjectComputing methodologies
dc.subjectComputational photography
dc.subject3D imaging
dc.subjectNeural networks
dc.subjectReconstruction
dc.titleFast and Fine Disparity Reconstruction for Wide-baseline Camera Arrays with Deep Neural Networksen_US
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