@InProceedings{MarroquimOlivCava:2008:HiQuIm,
               author = "Marroquim, Ricardo and Oliveira, Antonio and Cavalcanti, Paulo 
                         Roma",
          affiliation = "UFRJ and UFRJ and UFRJ",
                title = "High Quality Image Reconstruction of Point Models",
            booktitle = "Proceedings...",
                 year = "2008",
               editor = "Jung, Cl{\'a}udio Rosito and Walter, Marcelo",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 21. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "point-based rendering, image-based rendering, pyramid algorithm, 
                         image reconstruction.",
             abstract = "The parallel and discrete nature of many image-based techniques, 
                         such as interpolation methods, are highly suitable for GPU 
                         implementations. An important advantage is their bounded 
                         complexity by the screen resolution as opposed to the data size. 
                         Consequently, the direct surface reconstruction of points using 
                         image-based methods is an attractive solution to interactively 
                         render large data-sets. In this paper, we propose a novel approach 
                         that raises the robustness and quality standards of previous 
                         related works. The algorithm achieves quality equivalent to 
                         Surface Splatting techniques, while maintaining high performance 
                         rates compatible with previous image-based methods. A hierarchical 
                         pixel structure is employed to render the projected samples 
                         efficiently with minimum artifacts. One of the main advantages of 
                         the method is the independency from the number of samples during 
                         the surface reconstruction. Furthermore, no extra object space 
                         data structure is needed, making the approach also memory 
                         efficient.",
  conference-location = "Campo Grande, MS, Brazil",
      conference-year = "12-15 Oct. 2008",
                  doi = "10.1109/SIBGRAPI.2008.29",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2008.29",
             language = "en",
                  ibi = "6qtX3pFwXQZG2LgkFdY/UMLF2",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/UMLF2",
           targetfile = "marroquim_imageReconstructionPoints.pdf",
        urlaccessdate = "2024, May 02"
}