Maximum entropy light source placement

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-pr...

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Bibliographic Details
Published in:13th IEEE Visualization 2002 Conference (VIS 2002) pp. 275 - 282
Main Author: Gumhold, Stefan
Format: Conference Proceeding
Language:English
Published: Washington, DC, USA IEEE Computer Society 27.10.2002
IEEE
Series:ACM Conferences
Subjects:
Applied computing > Document management and text processing > Document capture > Graphics recognition and interpretation
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Computing methodologies > Computer graphics
Exact sciences and technology
Mathematics of computing > Mathematical analysis > Mathematical optimization
Pattern recognition. Digital image processing. Computational geometry
Theory of computation > Design and analysis of algorithms > Mathematical optimization
maximum entropy
visualization
illumination
optimization
user study
lighting design
Visualization
Computer graphics
Illumination
Global optimum
Entropy
Method of maximum entropy
Optimization
Light sources
ISBN:9780780374980, 0780374983
Online Access:Get full text
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Summary: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.
ISBN:9780780374980
0780374983
DOI:10.5555/602099.602141