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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PJ62EE
Repositorysid.inpe.br/sibgrapi/2017/09.04.22.41
Last Update2017:09.04.22.41.48 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/09.04.22.41.48
Metadata Last Update2022:05.18.22.18.24 (UTC) administrator
Citation KeySousaVelhFern:2017:ReTiPl
TitleD-KHT: Real time plane detection in depth images
FormatOn-line
Year2017
Access Date2024, May 02
Number of Files1
Size708 KiB
2. Context
Author1 Sousa, Eduardo Vera
2 Velho, Luiz
3 Fernandes, Leandro Augusto Frata
Affiliation1 Universidade Federal Fluminense
2 Instituto Nacional de Matemática Pura e Aplicada
3 Universidade Federal Fluminense
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addresseduardoverasousa@gmail.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeMaster's or Doctoral Work
History (UTC)2017-09-04 22:41:48 :: eduardoverasousa@gmail.com -> administrator ::
2022-05-18 22:18:24 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsdepth images
pattern recognition
Hough transform
real time
AbstractThe automatic detection of geometric primitives (e.g. planes, spheres, etc.) in depth images provides the basis for solving many computer vision problems. The applications range from robotics to augmented reality. For plane detection, the quality of previous techniques is strongly related to the amount of noise and discontinuities or, in the case of unorganized point clouds, depends on complex structures to organize the points, besides having high computational cost. In this paper, we present a real-time deterministic algorithm for plane detection in depth images. By using an implicit quadtree to cluster approximately coplanar points in the 2.5-D space associated with an efficient Hough Transform voting scheme and a hill climbing strategy to find local maxima, we are able to reach real-time detection. Experiments show that our approach works well even in presence of noise, partial occlusion, and discontinuities.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2017 > D-KHT: Real time...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PJ62EE
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PJ62EE
Languageen
Target FileCReady___WTD___SIBGRAPI_2017.pdf
User Groupeduardoverasousa@gmail.com
Visibilityshown
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 6
sid.inpe.br/banon/2001/03.30.15.38.24 1
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 resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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