Facial feature detection using geometrical face model: An efficient approach

A useful geometrical face model and an efficient facial feature detection approach are proposed. Based on the fact that human faces are constructed in the same geometrical configuration, the proposed approach can accurately detect facial features, especially the eyes, even when the images have complex backgrounds. The average computation time for one image of size 512 x 340 is less than 5 s by a SUN-Spare 20 workstation. Experimental results demonstrate that the proposed approach can efficiently detect human facial features and satisfactorily deal with the problems caused by bad lighting condition, skew face orientation, and even facial expression. (C) 1997 Pattern Recognition Society. Published by Elsevier Science Ltd.