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Imaging Flesh: Skin-customized Profiling

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Choice of camera calibration target influences how well an algorithm can estimate the color of specific scene objects. This research investigates the value of customized targets for estimation of flesh color. The use of a standard color calibration target is compared with a customized skin-based target. A spectral database of measured skin reflectances was available for use in this study. A skin target was simulated and compared to how well a standard MacBeth ColorChecker performed in calibrating a camera for accurate estimation of skin colors. The ColorChecker had a low average of 2 CIEDE2000 error units for the task. A simulated flesh target improved estimation error by 26%. For a second simulation a noise model derived from a commercial clinical photography system was imposed. In this more realistic case, the skin-customized target improved results by a far larger 60%.
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Document Type: Research Article

Publication date: January 1, 2008

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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