This paper presents a new face detection method which combines the Skin Color Detector and the Template Matching Method. First we can use the skin Color Detector to find the faces. In the Skin Color Detector, we can use the YCbCr model. The YCbCr model can be used to easily detect the Skin color or Non-Skin color in the images. But in the Skin Color Detector, it can also detect the faces or som...

Skin color is a simple but powerful pixel based feature. Skin color has proven to be a useful and sturdy cue for face detection, localization and tracking, hand detection, etc. Skin color is a useful means for human face detection. In this paper, we propose two color spaces YCbCr and CIELab and compare the results of both color space. Analyze the efficient method for skin color segmentation und...

Skin color is an important feature of faces. Applications that try to fit a face outline model to the real face contour can benefit from robust classification of skin and nonskin regions within the face. But this is a hard challenge, because skin color can look quite differently due to camera settings, illumination, shadows, people’s ethnic groups etc. In this work we present a parametric skin ...

Region-of-interest (ROI) detection plays an important role in filtering out pornographic images. Skin-color models, as a traditional approach, extract skin-color regions as ROI. However, the approach is difficult to differentiate between human skins and other objects with the skin-color. Furthermore, skin-color regions are always larger than the subareas containing pornographic parts. In this p...

In this paper, we study a color reproduction method to match the appearance of skin color images on CRT with a hardcopy under various viewing illuminants. Three color appearance models, von Kries, Fairchild and CIELAB, were applied to predict color reproduction on CRT display. Optimum color appearance model to predict color reproduction was estimated by psychophysical experiments based on the m...

Skin Color segmentation plays an important role in various applications such as face recognition, gesture recognition, human computer interaction etc. Face recognition is of main concern in skin color segmentation. There are various color models used for skin color segmentation (YCbCr, HSV and CIELAB) but appropriate method should be used for skin color segmentation. In real time the main probl...

OBJECTIVE To prove that the difference in human skin color can be used as a new fingerprint. METHODS A cross-sectional descriptive study was conducted in the Faculty of Medicine, The National Ribat University, Khartoum, Sudan between January and June 2010. The study consists of 139 subjects, which includes 41 Sudanese identical twins (82 subjects), 50 subjects from the general population, and...

An algorithm for segmenting skin regions in color images using color and edge information is presented. Skin colored regions are first detected using a Bayesian model of the human skin color. These regions are further segmented into skin region candidates that satisfy the homogeneity property of the human skin. We show that Bayesian skin color model outperforms many other models such as the pie...

The analysis of skin color with makeup is needed to examine the effect of makeup to human skin. Foundation is cosmetics to cover undesirable color on skin and gives basic color to skin. It is important evaluate a change of skin color by the foundation. The present paper modeled the optics of skin with foundation makeup by two layers. Then, the surface spectrum of skin with foundation makeup is ...

BACKGROUND This paper aims to compare the classification of race/skin color based on the discrete categories used by the Demographic Census of the Brazilian Institute of Geography and Statistics (IBGE) and a skin color scale with values ranging from 1 (lighter skin) to 10 (darker skin), examining whether choosing one alternative or the other can influence measures of self-evaluation of health s...