• DocumentCode
    3276433
  • Title

    "Shadow Catcher": a vision based illumination condition sensor using ARToolKit

  • Author

    Hartmann, Werner ; Zauner, Jürgen ; Haller, Michael ; Luckeneder, Thomas ; Woess, Wolfram

  • Author_Institution
    Inst. for Appl. Knowledge Process., Linz Univ., Austria
  • fYear
    2003
  • fDate
    7 Oct. 2003
  • Firstpage
    44
  • Lastpage
    45
  • Abstract
    Computing the correct illumination of virtual scenes is a well-explored area today. Most commonly used 3D graphic libraries like OpenGL or DirectX/Direct3d contain functions for these tasks. The "Shadow Catcher" approach uses the shadows that a light source casts on a so-called "sensor geometry" to determine the position of the light source by analyzing the shape of those shadows. Position and shape of this geometry are known by the system. ARToolKit is currently used to track the position of the geometry, but the solution is independent of the underlying tracking system. The system uses computer vision methodologies to detect shadow silhouettes on the surface of this geometry. The knowledge about the geometry\´s shape, together with the information about the shadow silhouettes, is used to compute the position of the light source.
  • Keywords
    augmented reality; computer vision; edge detection; image sensors; 3D graphic library; ARToolKit; Shadow Catcher; computer vision; sensor geometry; virtual scene; vision based illumination condition sensor; Computer vision; Geometry; Graphics; Layout; Light sources; Lighting; Optical reflection; Shape; Solid modeling; Subspace constraints;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Augmented Reality Toolkit Workshop, 2003. IEEE International
  • ISSN
    0953-5683
  • Print_ISBN
    0-7803-8240-4
  • Type

    conf

  • DOI
    10.1109/ART.2003.1320426
  • Filename
    1320426