Title :
Maximum entropy light source placement
Author_Institution :
WSI/GRIS, Tubingen Univ., Germany
Abstract :
Finding the "best" viewing parameters for a scene is a difficult but very important problem. Fully automatic procedures seem to be impossible as the notion of "best" strongly depends on 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 than illuminations from all other light positions, i.e. the light position maximizes 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 :
data visualisation; light sources; lighting; maximum entropy methods; optimisation; camera parameters; fast global optimization procedures; illumination; information measure; light position; maximum entropy light source placement; viewing parameters; Cameras; Computer graphics; Data visualization; Design optimization; Entropy; Histograms; Humans; Layout; Light sources; Lighting;
Conference_Titel :
Visualization, 2002. VIS 2002. IEEE
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-7803-7498-3
DOI :
10.1109/VISUAL.2002.1183785