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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3S556J5
Repositorysid.inpe.br/sibgrapi/2018/10.28.00.23
Last Update2018:10.28.00.23.25 (UTC) cangelosilima@gmail.com
Metadata Repositorysid.inpe.br/sibgrapi/2018/10.28.00.23.25
Metadata Last Update2022:05.18.22.18.35 (UTC) administrator
Citation KeyLimaMare:2018:SeImPr
TitleSegmentação em Imagens de Profundidade em Ambientes Controlados
FormatOn-line
Year2018
Access Date2024, Apr. 27
Number of Files1
Size382 KiB
2. Context
Author1 Lima, Victor Cangelosi de
2 Marengoni, Mauricio
Affiliation1 Universidade Presbiteriana Mackenzie
2 Universidade Presbiteriana Mackenzie
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 Addresscangelosilima@gmail.com
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 TypeWork in Progress
History (UTC)2018-10-28 00:23:25 :: cangelosilima@gmail.com -> administrator ::
2022-05-18 22:18:35 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordssegmentação
RGB-D
imagem de profundidade
AbstractAssistive technologies combined with computer vision techniques have important relevance to aid the navigation of the visually impaired, allowing their social inclusion and safety. This paper proposes an efficient and precise system for segmentation of depth images, originated from the Kinect sensor. The algorithm can be used to identify obstacles for navigation purpose. The approach shows the use of graphs for segmentation avoiding costly post processing.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2018 > Segmentação em Imagens...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 27/10/2018 21:23 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3S556J5
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3S556J5
Languagept
Target Fileindoor-depth-image.pdf
User Groupcangelosilima@gmail.com
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 8
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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