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Skin chromaticity gamuts for illumination recovery

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Colour constancy algorithms range from image statisticsbased pixel intensity manipulation to gamut-mapping methods, and are generally independent of specific image contents. In previous work, we have demonstrated that natural polychromatic surfaces possess distinct chromatic signatures in conecontrast space that may be exploited for colour constancy, and that in human vision, colour constancy is improved for such objects. Here we set out to use the specific, recognisable, and ubiquitous content of human skin in colour images to drive a gamut mapping method for colour constancy. We characterise variations in the chromaticity gamut of varying types of, pre recognised, human skin (male, female; Caucasian, African, Asian) under varying illumination. We use a custom-built LED illuminator to produce daylight metamers, and a spectroradiometrically calibrated hyperspectral camera (Specim V10E) to acquire images and create a novel hyperspectral skin image database. We demonstrate that human skin gamuts in conecontrast space are characterised by a set of features that can be used to differentiate between similar illuminations, whose estimate can then be used to colour correct an image.
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Document Type: Research Article

Publication date: January 1, 2012

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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