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Computer vision in augmented, virtual, mixed and extended reality environments—a bibliometric review

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Resumo:This work describes a bibliometric analysis of the literature on the use of computer vision algorithms in Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), and Extended Reality (XR) environments. The analysis aims to highlight the evolution, trends, and effects of research in this field. This review provides an overview of immersive technologies and their applications, as well as the role of computer vision algorithms in enabling these technologies and the potential benefits of using such algorithms. This study identifies important authors, institutions, and research themes by using bibliometric indicators such as citation counts, co-citation analysis, and network analysis. The analysis also identifies gaps and opportunities for additional research in this area, as well as a critical assessment of the quality and relevance of the publications.
Autores principais:Lopes, Júlio Castro
Outros Autores:Lopes, Rui Pedro
Assunto:Augmented reality Virtual reality Deep learning Computer vision Machine learning
Ano:2024
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Lopes, Júlio Castro
author2 Lopes, Rui Pedro
author2_role author
author_facet Lopes, Júlio Castro
Lopes, Rui Pedro
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_str [{\"Person.name\":\"Lopes, Júlio Castro\"},{\"Person.name\":\"Lopes, Rui Pedro\",\"Person.identifier.orcid\":\"0000-0002-9170-5078\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Lopes, Júlio Castro
Lopes, Rui Pedro
datacite.date.Accepted.fl_str_mv 2024-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2025-01-21T15:58:03Z
datacite.date.embargoed.fl_str_mv 2025-01-21T15:58:03Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Augmented reality
Virtual reality
Deep learning
Computer vision
Machine learning
datacite.titles.title.fl_str_mv Computer vision in augmented, virtual, mixed and extended reality environments—a bibliometric review
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Lopes, Júlio Castro
Lopes, Rui Pedro
dc.date.Accepted.fl_str_mv 2024-01-01T00:00:00Z
dc.date.available.fl_str_mv 2025-01-21T15:58:03Z
dc.date.embargoed.fl_str_mv 2025-01-21T15:58:03Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/31052
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Elsevier
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Augmented reality
Virtual reality
Deep learning
Computer vision
Machine learning
dc.title.fl_str_mv Computer vision in augmented, virtual, mixed and extended reality environments—a bibliometric review
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description This work describes a bibliometric analysis of the literature on the use of computer vision algorithms in Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), and Extended Reality (XR) environments. The analysis aims to highlight the evolution, trends, and effects of research in this field. This review provides an overview of immersive technologies and their applications, as well as the role of computer vision algorithms in enabling these technologies and the potential benefits of using such algorithms. This study identifies important authors, institutions, and research themes by using bibliometric indicators such as citation counts, co-citation analysis, and network analysis. The analysis also identifies gaps and opportunities for additional research in this area, as well as a critical assessment of the quality and relevance of the publications.
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funding.funder.identifier_str_mv http://doi.org/10.13039/501100001871
funding.funder.name_str_mv Fundação para a Ciência e a Tecnologia
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person_str_mv Lopes, Júlio Castro
Lopes, Rui Pedro
Lopes, Rui Pedro
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spelling engElsevierpt_PTThis work describes a bibliometric analysis of the literature on the use of computer vision algorithms in Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), and Extended Reality (XR) environments. The analysis aims to highlight the evolution, trends, and effects of research in this field. This review provides an overview of immersive technologies and their applications, as well as the role of computer vision algorithms in enabling these technologies and the potential benefits of using such algorithms. This study identifies important authors, institutions, and research themes by using bibliometric indicators such as citation counts, co-citation analysis, and network analysis. The analysis also identifies gaps and opportunities for additional research in this area, as well as a critical assessment of the quality and relevance of the publications.application/pdfpt_PTComputer vision in augmented, virtual, mixed and extended reality environments—a bibliometric reviewLopes, Júlio CastroPersonalLopes, Rui PedroDSpacehttp://dspace.org/items/e1e64423-0ec8-46ee-be96-33205c7c98a9DSpacehttp://dspace.org/items/e1e64423-0ec8-46ee-be96-33205c7c98a9LopesRui PedroCiência IDhttps://www.ciencia-id.pt8E14-54E4-4DB5ORCIDhttp://orcid.org0000-0002-9170-5078HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISSNIsPartOf2468-502XDOIIsPartOf10.1016/j.visinf.2024.11.0022025-01-21T15:58:03Z20242024-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/31052http://purl.org/coar/access_right/c_abf2open accessAugmented realityVirtual realityDeep learningComputer visionMachine learning2386198 bytesFundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871literaturehttp://purl.org/coar/resource_type/c_6501journal article2024http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/45f43d3a-8172-42a9-9e12-659ed5c673bb/downloadVisual Informatics841322
spellingShingle Computer vision in augmented, virtual, mixed and extended reality environments—a bibliometric review
Lopes, Júlio Castro
Augmented reality
Virtual reality
Deep learning
Computer vision
Machine learning
subject.fl_str_mv Augmented reality
Virtual reality
Deep learning
Computer vision
Machine learning
title Computer vision in augmented, virtual, mixed and extended reality environments—a bibliometric review
title_full Computer vision in augmented, virtual, mixed and extended reality environments—a bibliometric review
title_fullStr Computer vision in augmented, virtual, mixed and extended reality environments—a bibliometric review
title_full_unstemmed Computer vision in augmented, virtual, mixed and extended reality environments—a bibliometric review
title_short Computer vision in augmented, virtual, mixed and extended reality environments—a bibliometric review
title_sort Computer vision in augmented, virtual, mixed and extended reality environments—a bibliometric review
topic Augmented reality
Virtual reality
Deep learning
Computer vision
Machine learning
topic_facet Augmented reality
Virtual reality
Deep learning
Computer vision
Machine learning
url http://hdl.handle.net/10198/31052
visible 1