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
Link To Document :
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