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Von Kries Model under Planckian Illuminants

  • Michela Lecca
  • Stefano Messelodi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6978)

Abstract

Planckian illuminants and von Kries diagonal model are commonly assumed by many computer vision algorithms for modeling the color variations between two images of a same scene captured under two different illuminants. Here we present a method to estimate a von Kries transform approximating a Planckian illuminant change and we show that the Planckian assumption constraints the von Kries coefficients to belong to a ruled surface, that depends on physical cues of the lights. Moreover, we provide an approximated parametric representation of such a surface, making evident the dependence of the von Kries transform on the light color temperature and on the intensity.

Keywords

Spectral Power Color Temperature Correlate Color Temperature Computer Vision Algorithm Color Image Segmentation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Michela Lecca
    • 1
  • Stefano Messelodi
    • 1
  1. 1.Fondazione Bruno Kessler - Center for Information TechnologyTrentoItaly

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