• DocumentCode
    2269818
  • Title

    Image-Space Caustics and Curvatures

  • Author

    Yu, Xuan ; Li, Feng ; Yu, Jingyi

  • Author_Institution
    Univ. of Delaware, Newark
  • fYear
    2007
  • fDate
    Oct. 29 2007-Nov. 2 2007
  • Firstpage
    181
  • Lastpage
    188
  • Abstract
    Caustics are important visual phenomena, as well as challenging global illumination effects in computer graphics. Physically caustics can be interpreted from one of two perspectives: in terms of photons gathered on scene geometry, or in terms of a pair of caustic surfaces. These caustic surfaces are swept by the foci of light rays. In this paper, we develop a novel algorithm to approximate caustic surfaces of sampled rays. Our approach locally parameterizes rays by their intersections with a pair of parallel planes. We show neighboring ray triplets are constrained to pass simultaneously through two slits, which rule the caustic surfaces. We derive a ray characteristic equation to compute the two slits, and hence, the caustic surfaces. Using the characteristic equation, we develop a GPU-based algorithm to render the caustics. Our approach produces sharp and clear caustics using much fewer ray samples than the photon mapping method and it also maintains high spatial and temporal coherency. Finally, we present a normal-ray surface representation that locally parameterizes the normals about a surface point as rays. Computing the normal ray caustic surfaces leads to a novel real-time discrete shape operator.
  • Keywords
    computer graphics; caustic surfaces; computer graphics; image-space caustics; image-space curvatures; normal-ray surface representation; photon mapping method; ray triplets; visual phenomena; Computer graphics; Equations; Geometry; Layout; Lighting; Mirrors; Optical reflection; Rendering (computer graphics); Shape; Surface fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics and Applications, 2007. PG '07. 15th Pacific Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    1550-4085
  • Print_ISBN
    978-0-7695-3009-3
  • Type

    conf

  • DOI
    10.1109/PG.2007.35
  • Filename
    4392728