@InProceedings{LimaMare:2018:SeImPr,
               author = "Lima, Victor Cangelosi de and Marengoni, Mauricio",
          affiliation = "{Universidade Presbiteriana Mackenzie} and {Universidade 
                         Presbiteriana Mackenzie}",
                title = "Segmenta{\c{c}}{\~a}o em Imagens de Profundidade em Ambientes 
                         Controlados",
            booktitle = "Proceedings...",
                 year = "2018",
               editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and 
                         Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and 
                         Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez, 
                         Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de 
                         and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa, 
                         Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus, 
                         Klaus de and Scheer, Sergio",
         organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "segmenta{\c{c}}{\~a}o, 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.",
  conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
      conference-year = "29 Oct.-1 Nov. 2018",
             language = "pt",
                  ibi = "8JMKD3MGPAW/3S556J5",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3S556J5",
           targetfile = "indoor-depth-image.pdf",
        urlaccessdate = "2024, Apr. 27"
}