• DocumentCode
    2627635
  • Title

    Ray path categorization

  • Author

    Ehab, Diegon ; Gattass, Marcelo

  • Author_Institution
    Grupo de Tecnologia em Computacao Grafica, Rio de Janeiro, Brazil
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    227
  • Lastpage
    234
  • 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
  • Keywords
    category theory; edge detection; equivalence classes; image segmentation; ray tracing; rendering (computer graphics); aliasing; category information; detected edges; edge detection; equivalence classes; geometrical information; geometrical information extraction; image rendering; image segmentation algorithms; memory requirements; pixel colors; ray path categorization; ray tracer; ray-traced images; rendering process; Cameras; Equations; Image edge detection; Image segmentation; Layout; Light sources; Lighting; Optical reflection; Pixel; Rendering (computer graphics);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics and Image Processing, 2000. Proceedings XIII Brazilian Symposium on
  • Conference_Location
    Gramado
  • ISSN
    1530-1834
  • Print_ISBN
    0-7695-0878-2
  • Type

    conf

  • DOI
    10.1109/SIBGRA.2000.883917
  • Filename
    883917