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Reference TypeConference Proceedings
Sitesibgrapi.sid.inpe.br
Identifier6qtX3pFwXQZeBBx/GLEJM
Repositorysid.inpe.br/banon/2005/07.15.23.57
Last Update2005:07.15.03.00.00 administrator
Metadatasid.inpe.br/banon/2005/07.15.23.57.57
Metadata Last Update2020:02.19.03.19.22 administrator
Citation KeyPiresCesaVieiVelh:2005:TrMaCo
TitleTracking and matching connected components from 3D video
FormatOn-line
Year2005
Date9-12 Oct. 2005
Access Date2020, Dec. 04
Number of Files1
Size402 KiB
Context area
Author1 Pires, David da Silva
2 Cesar-Jr, Roberto Marcondes
3 Vieira, Marcelo Bernardes
4 Velho, Luiz
Affiliation1 Instituto de Matemática e Estatística da Universidade de São Paulo (IME-USP)
2 Instituto Nacional de Matemática Pura e Aplicada (IMPA)
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
e-Mail Addressdavidsp@vision.ime.usp.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
History2008-07-17 14:11:01 :: davidsp -> banon ::
2008-08-26 15:17:03 :: banon -> administrator ::
2009-08-13 20:37:58 :: administrator -> banon ::
2010-08-28 20:01:20 :: banon -> administrator ::
2020-02-19 03:19:22 :: administrator -> :: 2005
Content and structure area
Is the master or a copy?is the master
Document Stagecompleted
Transferable1
Content TypeExternal Contribution
Tertiary TypeFull Paper
Keywordstracking connected components, matching connected components, 3D video, 4D video, 3D imaging, range image.
AbstractThis work presents a method for the detection, tracking and spatial matching of connected components in a 3D video stream. The video image information is combined with 3D sites in order to align pieces of surfaces that are seen in subsequent frames. This is a key step in 3D video analysis for enabling several applications such as compression, geometric integration and scene reconstruction, to name a few. Our approach is to detect salient features in both image and world spaces for further alignment of texture and geometry. We use a projector-camera system to obtain high quality texture and geometry at 30 fps. Successful experimental results corroborating our method are shown. .
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Languageen
Target Filepiresd_tracking.pdf
User Groupdavidsp
administrator
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Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark mirrorrepository nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume

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