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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3S399DP
Repositorysid.inpe.br/sibgrapi/2018/10.16.15.35
Last Update2018:10.16.15.35.28 (UTC) daniellima@ifma.edu.br
Metadata Repositorysid.inpe.br/sibgrapi/2018/10.16.15.35.28
Metadata Last Update2022:05.18.22.18.31 (UTC) administrator
Citation KeyJúniorSilvPaiv:2018:ViAuRe
TitleVirtual and Augmented Reality Applications Development Methodology using natural markers in industrial scenarios
FormatOn-line
Year2018
Access Date2024, Apr. 27
Number of Files1
Size3007 KiB
2. Context
Author1 Júnior, Daniel Lima Gomes
2 Silva, Aristófanes Correa
3 Paiva, Anselmo Cardoso de
Affiliation1 Instituto Federal do Maranhão
2 Universidade Federal do Maranhão
3 Universidade Federal do Maranhão
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addressdaniellima@ifma.edu.br
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Date29 Oct.-1 Nov. 2018
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeMaster's or Doctoral Work
History (UTC)2018-10-16 15:35:28 :: daniellima@ifma.edu.br -> administrator ::
2022-05-18 22:18:31 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsVirtual Reality
Augmented Reality
Natural Markers
Haar-like Features
AbstractIn this Ph.D. research, we have proposed a methodology for development of Virtual Reality (VR) and Augmented Reality (AR) applications, using natural markers for industrial scenarios. The proposed methodology uses the object annotation concept and visualization proposals are presented both for development of VR as for AR environments. In VR environments, the methodology is applied for object detection step of the semi-automatic authoring tool. On the other hand, in AR environments, is presented the concept of georeferenced natural markers, which use the georeferenced data integrated with object detection process using image processing techniques. The energy substations scenarios were used as case study for both approaches. This work proposes using Haar-like feature based natural markers integrated with homomorphic filtering for object training and detection process. The results enable the equipment detection at different points of view, within the operating scenario. Besides that, in AR, it enables the pose estimation in real-time using ORB features, while in VR it enables the semi-automatic object detection, which are used as information points for inclusion of virtual information. Several industrial scenarios, and especially the energy sector, has a high degree of complexity in the information processing and visualization. In this sense, beyond the 3D natural markers methodology, this work presents visualization applications for industrial scenario visualization in VR and AR approaches.
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3S399DP
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3S399DP
Languageen
Target FileWTD.pdf
User Groupdaniellima@ifma.edu.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
Citing Item Listsid.inpe.br/sibgrapi/2018/09.03.20.37 9
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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