@InProceedings{NehabGatt:2000:RaPaCa,
               author = "Nehab, Diego and Gattass, Marcelo",
                title = "Ray path categorization",
            booktitle = "Proceedings...",
                 year = "2000",
               editor = "Carvalho, Paulo Cezar Pinto and Walter, Marcelo",
                pages = "227--234",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 13. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Gramado, RS, Brazil, from October 17 to 
                         20.",
             keywords = "edge detection, ray path categorization, edge detection, image 
                         segmentation algorithms, geometrical information extraction, pixel 
                         colors, ray-traced images, geometrical information, image 
                         rendering, equivalence classes, category information, rendering 
                         process, detected edges, aliasing, ray tracer, memory 
                         requirements.",
             abstract = "Edge detection and image segmentation algorithms usually operate 
                         on an image to extract geometrical information based on pixel 
                         colors. For ray-traced images, the presence of geometrical 
                         information on the scene from which the image was rendered allows 
                         for a completely different approach. We present an algorithm that 
                         divides rays into equivalence classes, or categories. The category 
                         information is generated during the rendering process and used to 
                         determine edges in the resulting image. Detected edges can later 
                         be used to help determine areas subject to aliasing. Little effort 
                         is needed to implement the described algorithms over an existing 
                         ray tracer. Furthermore, the extra computational and memory 
                         requirements are modest.",
  conference-location = "Gramado, RS, Brazil",
      conference-year = "17-20 Oct. 2000",
                  doi = "10.1109/SIBGRA.2000.883917",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2000.883917",
         organisation = "SBC - Brazilian Computer Society",
                  ibi = "6qtX3pFwXQZeBBx/w9xB2",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/w9xB2",
           targetfile = "227-234.pdf",
        urlaccessdate = "2024, May 04"
}