Statistical color models with application to skin detection
International Journal of Computer Vision
Segmentation of distinct homogeneous color regions in images
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Face segmentation using skin-color map in videophone applications
IEEE Transactions on Circuits and Systems for Video Technology
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The field of image processing field is inundated with new ideas and concepts put forth by various researchers with an intention to overcome the challenges encountered during face detection. Among the various techniques proposed to achieve optimum face detection, skin segmentation has been most popular for its coherence and its minimalism in ascertaining faces from photos. However, the major obstacle while attempting to achieve exceptional face detection using skin segmentation is the disparity of the skin color when an image is captured under different lighting conditions. The hues of the captured skin vary from natural light to artificial indoor lighting to partial lighting and shadow effect of light. Also, considering the diverse skin textures of people worldwide, it is intricate to achieve immaculate skin detection in the presence of such disparity. The paper presents a novel technique designed to perform skin segmentation based face tracking independent of lighting conditions. The proposed skin segmentation algorithm has been implemented and tested to identify all possible skin tones under light variant conditions. Integration of the novel skin segmentation algorithm into a larger real-time face detection system yielded 99.9% accuracy and precision, thus achieving a flawless skin-segmentation based face tracking system.