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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3M3QEQB
Repositorysid.inpe.br/sibgrapi/2016/07.11.17.39
Last Update2016:07.11.17.39.11 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/07.11.17.39.11
Metadata Last Update2022:06.14.00.08.21 (UTC) administrator
DOI10.1109/SIBGRAPI.2016.017
Citation KeyLimaTeic:2016:EfGlPo
TitleAn Efficient Global Point Cloud Descriptor for Object Recognition and Pose Estimation
FormatOn-line
Year2016
Access Date2024, May 03
Number of Files1
Size3480 KiB
2. Context
Author1 Lima, Joćo Paulo Silva do Monte
2 Teichrieb, Veronica
Affiliation1 Universidade Federal Rural de Pernambuco
2 Universidade Federal de Pernambuco
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, Joćo Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, Joćo Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addressjpsml@cin.ufpe.br
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSćo José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherIEEE Computer Society“s Conference Publishing Services
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2016-07-11 17:39:11 :: jpsml@cin.ufpe.br -> administrator ::
2016-10-05 14:49:10 :: administrator -> jpsml@cin.ufpe.br :: 2016
2016-10-13 19:37:41 :: jpsml@cin.ufpe.br -> administrator :: 2016
2022-06-14 00:08:21 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordscloud descriptor
object recognition
pose estimation
AbstractThis paper presents a global point cloud descriptor to be used for efficient object recognition and pose estimation. The proposed method is based on the estimation of a reference frame for the whole point cloud that represents an object instance, which is used for aligning it with the canonical coordinate system. After that, a descriptor is computed for the aligned point cloud based on how its 3D points are spatially distributed. Such descriptor is also extended with color distribution throughout the aligned point cloud. The global alignment transforms of matched point clouds are used for computing object pose. The proposed approach was evaluated with a publicly available dataset, showing that it outperforms major state of the art global descriptors regarding recognition rate and performance and that it allows precise pose estimation.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2016 > An Efficient Global...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > An Efficient Global...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3M3QEQB
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3M3QEQB
Languageen
Target FilePID4349755.pdf
User Groupjpsml@cin.ufpe.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 7
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination 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 volume


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