Greyscale photograph geometry informed by dodging and burning

Authors:
Carlos Phillips;Kaleem Siddiqi
Affiliations:
School of Computer Science and Centre for Intelligent Machines, McGill University;School of Computer Science and Centre for Intelligent Machines, McGill University
Venue:
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Year:
2006

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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.