1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3S556J5 |
Repository | sid.inpe.br/sibgrapi/2018/10.28.00.23 |
Last Update | 2018:10.28.00.23.25 (UTC) cangelosilima@gmail.com |
Metadata Repository | sid.inpe.br/sibgrapi/2018/10.28.00.23.25 |
Metadata Last Update | 2022:05.18.22.18.35 (UTC) administrator |
Citation Key | LimaMare:2018:SeImPr |
Title | Segmentação em Imagens de Profundidade em Ambientes Controlados |
Format | On-line |
Year | 2018 |
Access Date | 2024, Apr. 27 |
Number of Files | 1 |
Size | 382 KiB |
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2. Context | |
Author | 1 Lima, Victor Cangelosi de 2 Marengoni, Mauricio |
Affiliation | 1 Universidade Presbiteriana Mackenzie 2 Universidade Presbiteriana Mackenzie |
Editor | Ross, 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 Address | cangelosilima@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 31 (SIBGRAPI) |
Conference Location | Foz do Iguaçu, PR, Brazil |
Date | 29 Oct.-1 Nov. 2018 |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Book Title | Proceedings |
Tertiary Type | Work in Progress |
History (UTC) | 2018-10-28 00:23:25 :: cangelosilima@gmail.com -> administrator :: 2022-05-18 22:18:35 :: administrator -> :: 2018 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | segmentação RGB-D imagem de profundidade |
Abstract | Assistive 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. |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2018 > Segmentação em Imagens... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPAW/3S556J5 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3S556J5 |
Language | pt |
Target File | indoor-depth-image.pdf |
User Group | cangelosilima@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3RPADUS |
Citing Item List | sid.inpe.br/sibgrapi/2018/09.03.20.37 8 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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