A skin-color extraction algorithm is proposed to detect human faces in color images with varying illumination condition and presence of complex background. The approach is based on both a Gaussian mixture model of human skin-color distribution and image segmentation using all automatic and adaptive multi-thresholding technique. Detected regions are then refined by morphological operations. Experimental results on images presenting a wide range of variations in lighting condition, face orientation, scale, pose, facial expression and background, demonstrate the efficiency of our skin-segmentation algorithm. Using additional information about facial features, our method becomes an efficient step in localizing candidate faces for a face detection system.
Skin-color extraction in images with complex background and varying illumination
2002-01-01
595006 byte
Conference paper
Electronic Resource
English
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