Color match: an imaging based mobile cosmetics advisory service
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
Imaging-based cosmetics advisory service
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Snap and match: a case study of virtual color cosmetics consultation
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Color target localization under varying illumination conditions
CCIW'11 Proceedings of the Third international conference on Computational color imaging
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Images of a scene captured with multiple cameras will have different color values because of variations in color rendering across devices. We present a method to accurately retrieve color information from uncalibrated images taken under uncontrolled lighting conditions with an unknown device and no access to raw data, but with a limited number of reference colors in the scene. The method is used to assess skin tones. A subject is imaged with a calibration target. The target is extracted and its color values are used to compute a color correction transform that is applied to the entire image. We establish that the best mapping is done using a target consisting of skin colored patches representing the whole range of human skin colors. We show that color information extracted from images is well correlated with color data derived from spectral measurements of skin. We also show that skin color can be consistently measured across cameras with different color rendering and resolutions ranging from 0.1 to 4.0 megapixels. © 2007 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 17, 143–151, 2007