Publicação
Computer vision in augmented, virtual, mixed and extended reality environments—a bibliometric review
| dc.contributor.author | Lopes, Júlio Castro | |
| dc.contributor.author | Lopes, Rui Pedro | |
| dc.date.accessioned | 2025-01-21T15:58:03Z | |
| dc.date.available | 2025-01-21T15:58:03Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | 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. | pt_PT |
| dc.description.sponsorship | This work is funded by the European Regional DevelopmentFund (ERDF) through the Regional Operational Program North2020, within the scope of Project GreenHealth - Digital strategiesin biological assets to improve well-being and promote greenhealth, Norte-01-0145-FEDER-000042. This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Lopes, Júlio Castro; Lopes, Rui Pedro (2024). Computer vision in augmented, virtual, mixed and extended reality environments—a bibliometric review. Visual Informatics. ISSN 2468-502X. 8:4, p. 13-22 | pt_PT |
| dc.identifier.doi | 10.1016/j.visinf.2024.11.002 | pt_PT |
| dc.identifier.issn | 2468-502X | |
| dc.identifier.uri | http://hdl.handle.net/10198/31052 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Elsevier | pt_PT |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Augmented reality | pt_PT |
| dc.subject | Virtual reality | pt_PT |
| dc.subject | Deep learning | pt_PT |
| dc.subject | Computer vision | pt_PT |
| dc.subject | Machine learning | pt_PT |
| dc.title | Computer vision in augmented, virtual, mixed and extended reality environments—a bibliometric review | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.citation.endPage | 22 | pt_PT |
| oaire.citation.issue | 4 | pt_PT |
| oaire.citation.startPage | 13 | pt_PT |
| oaire.citation.title | Visual Informatics | pt_PT |
| oaire.citation.volume | 8 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Lopes | |
| person.givenName | Rui Pedro | |
| person.identifier.ciencia-id | 8E14-54E4-4DB5 | |
| person.identifier.orcid | 0000-0002-9170-5078 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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