Facial Geometric Feature for Cascade Eye Detection

摘要

An innovative method for cascade eye detection using facial geometric features is proposed. The cascade detector is used to detect pairs of eye of candidates. The size similarity, the horizontal symmetry, the horizontal sextant angle, and the scale coefficients extracted from facial geometric feature are integrated to improve eye detection. Both the BioID database and real-time video stream were used in the experiments. Experimental results show that the proposed eye detection method is significantly more accurate than the cascade detector alone without sacrificing overmuch time-efficiency.