@InProceedings{SegundoNetoGomeGonç:2016:SeNuPo,
               author = "Segundo Neto, Valmir Ferreira and Gomes, Rafael Beserra and 
                         Gon{\c{c}}alves, Luiz Marcos Garcia",
          affiliation = "{Universidade Federal do Rio Grande do Norte} and {Universidade 
                         Federal do Rio Grande do Norte} and {Universidade Federal do Rio 
                         Grande do Norte}",
                title = "Segmenta{\c{c}}{\~a}o em nuvem de pontos para 
                         detec{\c{c}}{\~a}o de superf{\'{\i}}cies aqu{\'a}ticas",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Detec{\c{c}}{\~a}o de Plano, Superf{\'{\i}}cie Aqu{\'a}tica, 
                         Nuvem de Pontos, C{\^a}mera Est{\'e}reo, Vis{\~a}o 
                         Computacional.",
             abstract = "The water surface detection is a fundamental application for 
                         decision-making and control of autonomous boats, and because of 
                         it, it is possible to define the navigable and the nonnavigable 
                         areas of an specific place, helping to prevent possible accidents 
                         involving the autonomous vehicle, besides that, it can facilitate 
                         some significant activities, like the water monitoring. Utilizing 
                         point clouds from a stereo camera, the present work proposes an 
                         application that uses the logic from the RANdom SAmple Consensus 
                         algorithm for plane detection applied to the water surface 
                         detection, and it also splits the application in three main steps: 
                         The image database acquisition, image enhancement and the 
                         segmentation. The results will be presented comparing the original 
                         image captured, the depth image and the point cloud obtained after 
                         the main algorithms conclusion with their respective runtime to 
                         avaliate the application efficiency.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "pt",
                  ibi = "8JMKD3MGPAW/3M9M9S5",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M9M9S5",
           targetfile = "Segmenta{\c{c}}{\~a}o em Nuvem de Pontos para 
                         Detec{\c{c}}{\~a}o de Superf{\'{\i}}cies Aqu{\'a}ticas.pdf",
        urlaccessdate = "2024, May 03"
}