@InProceedings{MontenegroCarvVelhGatt:2004:SpCaHa,
               author = "Montenegro, Anselmo Antunes and Carvalho, Paulo Cezar Pinto and 
                         Velho, Luiz Carlos Pacheco Rodrigues and Gattass, Marcelo",
          affiliation = "{Instituto Nacional de Matem{\'a}tica Pura e Aplicada.} and 
                         {Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio de 
                         Janeiro.}",
                title = "Space carving with a hand-held camera",
            booktitle = "Proceedings...",
                 year = "2004",
               editor = "Ara{\'u}jo, Arnaldo de Albuquerque and Comba, Jo{\~a}o Luiz Dihl 
                         and Navazo, Isabel and Sousa, Ant{\^o}nio Augusto de",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 17. 
                         (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 
                         (SIACG)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "space carving, 3D photography, scene reconstruction, image based 
                         modeling.",
             abstract = "This paper presents a 3D scene reconstruction method, based on 
                         space carving, that works with a hand-held camera. In our system, 
                         the intrinsic and extrinsic parameters of the camera are 
                         determined at the moment of image capture, as opposed to other 
                         systems that rely on fixed pre-calibrated camera setups. In order 
                         to do this we place a special calibration pattern in the scene in 
                         such a way that it does not alter scene visibility. However, the 
                         calibration pattern may be partially occluded by the objects of 
                         interest in the scene. This has led us to adopt a calibration 
                         method based on model recognition. Scene reconstruction is 
                         obtained from the set of input images by an adaptive space-carving 
                         algorithm that uses not only photometric information but also 
                         segmentation information. The segmentation information of a given 
                         input image is determined by a robust statistical test based on an 
                         approximate model of the scene’s background. Such model is 
                         computed from a set of images of the scene’s background that are 
                         warped in such a way that they match the geometry of the desired 
                         camera.",
  conference-location = "Curitiba, PR, Brazil",
      conference-year = "17-20 Oct. 2004",
                  doi = "10.1109/SIBGRA.2004.1352986",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2004.1352986",
             language = "en",
                  ibi = "6qtX3pFwXQZeBBx/D9sou",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/D9sou",
           targetfile = "4399_Montenegro_A.pdf",
        urlaccessdate = "2024, Apr. 30"
}