Facial feature detection with structure constraints

Human facial feature extraction is an important step in many facial image interpretation tasks. In this paper, an algorithm for detecting facial features is proposed, in which corner-based facial feature detectors are coupled with a statistical model of the spatial arrangement of facial features to yield a robust performance. Experimental results show that the proposed method is robust and can extract facial features with good accuracy.