Maximum Entropy Light Source Placement (bibtex)
by
Abstract:
Finding the "best" viewing parameters for a scene is quite difficult but a very important problem. Fully automatic procedures seem to be impossible as the notion of "best" strongly depends on the human judgment as well as on the application. In this paper a solution to the sub-problem of placing light sources for given camera parameters is proposed. A light position is defined to be optimal, when the resulting illumination reveals more about the scene as the illuminations from all other light positions, i.e. the light position maximizes the information that is added to the image through the illumination. With the help of an experiment with several subjects we could adapt the information measure to the actually perceived information content. We present fast global optimization procedures and solutions for two and more light sources.
Reference:
Maximum Entropy Light Source Placement (Stefan Gumhold), In Proceedings of IEEE Visualization Conference, 2002.
Bibtex Entry:
@INPROCEEDINGS{Gumhold-2002-Maximuma,
   AUTHOR = {Stefan Gumhold},
   BOOKTITLE = {Proceedings of IEEE Visualization Conference},
   AFFILIATIONS = {CGV,GRIS},
   AREAS = {areava},
   MONTH = {oct},
   PAGES = {275--282},
   TITLE = {Maximum Entropy Light Source Placement},
   YEAR = {2002},
   ABSTRACT = {Finding the "best" viewing parameters for a scene is quite difficult
	  but a very important problem. Fully automatic procedures seem to
	  be impossible as the notion of "best" strongly depends on the human
	  judgment as well as on the application. In this paper a solution
	  to the sub-problem of placing light sources for given camera parameters
	  is proposed. A light position is defined to be optimal, when the
	  resulting illumination reveals more about the scene as the illuminations
	  from all other light positions, i.e. the light position maximizes
	  the information that is added to the image through the illumination.
	  With the help of an experiment with several subjects we could adapt
	  the information measure to the actually perceived information content.
	  We present fast global optimization procedures and solutions
	  for two and more light sources.},
   KEYWORDS = {Lighting Design, Visualization, Illumination, Maximum Entropy, Optimization, User Study},
   ISBN = {0-7803-7498-3},
   DOI = {10.1109/VISUAL.2002.1183785},
   URL = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1183785}
}
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