Abstract
Face detection algorithms have primary factors that decrease a detection ratio: variations in lighting effect, location and rotation, distance between objects, and complex background. Variations in illumination, background, visual angle and facial expressions make the face detection difficult [1], [2]. We propose a face detection algorithm for color images in the presence of varying lighting conditions as well as complex background. Our method detects skin regions over the entire image, and then generates face candidate based on the spatial arrangement of these skin patches. The algorithm constructs eyes, mouth, nose, and boundary maps for verifying each face candidate.
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