Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPAW/3S556J5 |
Repository | sid.inpe.br/sibgrapi/2018/10.28.00.23 |
Last Update | 2018:10.28.00.23.25 cangelosilima@gmail.com |
Metadata | sid.inpe.br/sibgrapi/2018/10.28.00.23.25 |
Metadata Last Update | 2020:02.20.22.06.52 administrator |
Citation Key | LimaMare:2018:SeImPr |
Title | Segmentação em Imagens de Profundidade em Ambientes Controlados  |
Format | On-line |
Year | 2018 |
Date | Oct. 29 - Nov. 1, 2018 |
Access Date | 2021, Jan. 19 |
Number of Files | 1 |
Size | 382 KiB |
Context area | |
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 |
Book Title | Proceedings |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Tertiary Type | Work in Progress |
History | 2018-10-28 00:23:25 :: cangelosilima@gmail.com -> administrator :: 2020-02-20 22:06:52 :: administrator -> :: 2018 |
Content and structure area | |
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. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/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 |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3RPADUS |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition 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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