Face Localization in Cluttered Background

The human face localization task upon upright vertical frontal views faces in complex scenes is formulated as a wavelet-based problem and developed a novel approach using the extrema density aims to determine a single face position. Face-of-interest (FOI) region is firstly located and framed by finding facial edges using the inter-orientation wavelet subbands and the anthropometric measure. Then, a refining step using the proposed head contour detection (HCD) approach is carried to further improve the localization accuracy. Comparisons with existing state-of-the-art face detection works, showing that our system has a comparable performance in terms of face localization rate and quality.