Reference TypeConference Proceedings
Citation KeyLimaMare:2018:SeImPr
Author1 Lima, Victor Cangelosi de
2 Marengoni, Mauricio
Affiliation1 Universidade Presbiteriana Mackenzie
2 Universidade Presbiteriana Mackenzie
TitleSegmentação em Imagens de Profundidade em Ambientes Controlados
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
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
Book TitleProceedings
DateOct. 29 - Nov. 1, 2018
Publisher CityPorto Alegre
PublisherSociedade Brasileira de Computação
Conference LocationFoz do Iguaçu, PR, Brazil
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.
Tertiary TypeWork in Progress
Size382 KiB
Number of Files1
Target Fileindoor-depth-image.pdf
Last Update2018:
Metadata Last Update2020: administrator {D 2018}
Document Stagecompleted
Is the master or a copy?is the master
Document Stagenot transferred
Next Higher Units8JMKD3MGPAW/3RPADUS
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History2018-10-28 00:23:25 :: -> administrator ::
2020-02-20 22:06:52 :: administrator -> :: 2018
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Access Date2020, Nov. 29