%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2016/08.16.21.59
%2 sid.inpe.br/sibgrapi/2016/08.16.21.59.59
%T Segmentação em nuvem de pontos para detecção de superfícies aquáticas
%D 2016
%A Segundo Neto, Valmir Ferreira,
%A Gomes, Rafael Beserra,
%A Gonçalves, Luiz Marcos Garcia,
%@affiliation Universidade Federal do Rio Grande do Norte
%@affiliation Universidade Federal do Rio Grande do Norte
%@affiliation Universidade Federal do Rio Grande do Norte
%E Aliaga, Daniel G.,
%E Davis, Larry S.,
%E Farias, Ricardo C.,
%E Fernandes, Leandro A. F.,
%E Gibson, Stuart J.,
%E Giraldi, Gilson A.,
%E Gois, João Paulo,
%E Maciel, Anderson,
%E Menotti, David,
%E Miranda, Paulo A. V.,
%E Musse, Soraia,
%E Namikawa, Laercio,
%E Pamplona, Mauricio,
%E Papa, João Paulo,
%E Santos, Jefersson dos,
%E Schwartz, William Robson,
%E Thomaz, Carlos E.,
%B Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)
%C São José dos Campos, SP, Brazil
%8 4-7 Oct. 2016
%I Sociedade Brasileira de Computação
%J Porto Alegre
%S Proceedings
%K Detecção de Plano, Superfície Aquática, Nuvem de Pontos, Câmera Estéreo, Visão Computacional.
%X 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.
%@language pt
%3 Segmentação em Nuvem de Pontos para Detecção de Superfícies Aquáticas.pdf