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Greyscale Photograph Geometry Informed by Dodging and Burning

  • Carlos Phillips
  • Kaleem Siddiqi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4338)

Abstract

Photographs are often used as input to image processing and computer vision tasks. Prints from the same negative may vary in intensity values due, in part, to the liberal use of dodging and burning in photography. Measurements which are invariant to these transformations can be used to extract information from photographs which is not sensitive to certain alterations in the development process. These measurements are explored through the construction of a differential geometry which is itself invariant to linear dodging and burning.

Keywords

Invariant Measurement Measurement Space Image Space Metallic Silver Reduction Function 
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 2006

Authors and Affiliations

  • Carlos Phillips
    • 1
  • Kaleem Siddiqi
    • 1
  1. 1.School of Computer Science and Centre for Intelligent MachinesMcGill University 

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