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
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