@InProceedings{BellinaTognVero:2015:PoSyVi,
               author = "Bellina, Gabriel Marx and Tognoli, Francisco Manoel Wohnrath and 
                         Veronez, Mauricio Roberto",
          affiliation = "{Universidade do Vale dos Sinos (UNISINOS)} and {Universidade do 
                         Vale dos Sinos (UNISINOS)} and {Universidade do Vale dos Sinos 
                         (UNISINOS)}",
                title = "Outcrop explorer: a point-based system for visualization and 
                         interpretation of Lidar digital models",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Fileto, Renato and Korting, Thales Sehn",
                pages = "198--2009",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 16. (GEOINFO)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The use of LIDAR-based models for natural outcrops and surfaces 
                         studies has increased in the last few years. This technique has 
                         been found to be potential to represent digitally tridimensional 
                         data, thus it increases the quality and amount of data available 
                         for interpretation by geoscientists. Researchers, in computations, 
                         face difficulties in handling the huge amount of the data acquired 
                         by LIDAR systems. It is difficult to visualize efficiently the 
                         point cloud and convert it to high-quality digital models (DMs) 
                         with specific interpretation tools. Some in-house and commercial 
                         software solutions have been developed by some research groups and 
                         industries, respectively. However, all solutions must consider the 
                         large database as the pain point of the project. Outcrop Explorer 
                         has been developed to manage large point clouds, to provide 
                         interpretation tools, and to allow integration with other 
                         applications through data exporting. In terms of software 
                         architecture, view-dependent level of detail (LOD) and a 
                         hierarchical space-partitioning structure in the form of octree 
                         are integrated in order to optimize the data access and to promote 
                         a proper visualization and navigation in the DM. This paper 
                         presents a system developed for visualization, handling and 
                         interpretation of digital models obtained from point clouds of 
                         LIDAR surveys. This system was developed considering the free 
                         graphic resources, the necessities of the geoscientists and the 
                         limitations of the commercial tools for interpretation purposes. 
                         It provides an editing tool to remove noise or unnecessary 
                         portions of the point cloud and interpretation tools to identify 
                         lines and planes, as well as their orientations, and it has 
                         different exporting formats. However, being an open source project 
                         much more collaborative development is necessary.",
  conference-location = "Campos do Jord{\~a}o",
      conference-year = "27 nov. a 02 dez. 2015",
                 issn = "2179-4820",
             language = "en",
                  ibi = "8JMKD3MGPDW34P/3KP37KS",
                  url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3KP37KS",
           targetfile = "proceedings2015_p20.pdf",
        urlaccessdate = "27 abr. 2024"
}