@inproceedings{874cf3c81ad74f768362278d5c41894e,
title = "{"}Shadow Catcher{"}: A vision based illumination condition sensor using ARToolKit",
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 = "Computer vision, Geometry, Graphics, Layout, Light sources, Lighting, Optical reflection, Shape, Solid modeling, Subspace constraints",
author = "W. Hartmann and J. Zauner and M. Haller and T. Luckeneder and W. Woess",
year = "2003",
doi = "10.1109/ART.2003.1320426",
language = "English",
series = "ART 2003 - IEEE International Augmented Reality Toolkit Workshop",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "44--45",
booktitle = "ART 2003 - IEEE International Augmented Reality Toolkit Workshop",
address = "United States",
note = "IEEE International Augmented Reality Toolkit Workshop, ART 2003 ; Conference date: 07-10-2003",
}