Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2018:
Metadata Last Update2020: administrator
Citation KeyLimaMare:2018:SeImPr
TitleSegmentação em Imagens de Profundidade em Ambientes Controlados
DateOct. 29 - Nov. 1, 2018
Access Date2021, Jan. 19
Number of Files1
Size382 KiB
Context area
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
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeWork in Progress
History2018-10-28 00:23:25 :: -> administrator ::
2020-02-20 22:06:52 :: administrator -> :: 2018
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
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.
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Target Fileindoor-depth-image.pdf
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Next Higher Units8JMKD3MGPAW/3RPADUS
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