Maximum entropy light source placement

  • Authors:
  • S. Gumhold

  • Affiliations:
  • University of Tübingen

  • Venue:
  • ACM SIGGRAPH 2002 conference abstracts and applications
  • Year:
  • 2002

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Abstract

Several methods have been proposed to help the user to position lighting sources for a given view of a 3d-scene. In the first kind of methods the user defines a desired illumination through highlight and shadow locations for which the lighting system optimizes the light positions. The more automatic approaches are based on perceptual image metrics. [Marks et al. 1997] define an image metric that measures how different two images are perceived. A collection of maximally different images is presented to the user for selection. [Shacked and Lischinski 2001] define a perceptual based image quality metric composed of six contributing terms, for which the user has to specify weights before the system searches for a locally optimal light source placement.