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Conference Paper
Estimation of Skin Color under Various Illuminants using Spectrum Data
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- Authors
- Ju-Yeon You, In-Su Jang, Jin-Seo Kim
- Issue Date
- 2013-07
- Citation
- Congress of the International Colour Association (AIC Colour) 2013, pp.1-4
- Language
- English
- Type
- Conference Paper
- Abstract
- Rapid development in virtual reality and visualization technologies makes it possible to produce numerous virtual simulation systems. In these types of systems, color representation is very important to reproduce the realistic result, and especially in virtual makeup simulation system, color representation is crucial because humans are very sensitive to skin color. Although CIELAB or CIEXYZ standard color spaces are widely used for color image processing, limitations in representing true color can occur because those are established from perceived colors by human perception under standard illuminant conditions (Jang 2013). To overcome these limitations, spectral reflectance can be used to analyze and represent true color information, where spectral reflectance represents color characteristics of a material and determines the specral distribution of reflected light that represent the color of the material (Mansouri 2008, Mansouri 2005). In this paper, we proposed a novel approach to predict and reproduce skin colors under various illuminants using spectrum data. The estimated result by using the proposed modeling method is compared to the pictures taken under actrual lightings, and the experimental result shows that the proposed method can satisfactorily estimate the perceived color of human skin when various illuminants are applied by using spectrum data.
- KSP Keywords
- Color Space, Color characteristics, Color information, Experimental Result, Human skin, Image processing(IP), Modeling method, Novel approach, Rapid development, Reflected light, Simulation system