Skin chromacity gamuts for illumination recovery

Crichton, Stuart, Pichat, Jonas, Mackiewicz, Michal ORCID:, Tian, Gui-Yun and Hurlbert, Anya (2012) Skin chromacity gamuts for illumination recovery. In: 6th Computer Graphics and Information Visualization (CGIV) conference, 2012-05-01.

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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.

Item Type: Conference or Workshop Item (Paper)
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Colour and Imaging Lab
Faculty of Science > Research Groups > Interactive Graphics and Audio
Depositing User: Pure Connector
Date Deposited: 24 Sep 2013 01:26
Last Modified: 28 Nov 2023 01:29
DOI: 10.2352/CGIV.2012.6.1.art00046

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