An efficient approach for facial feature detection using geometrical face model

Most of the conventional approaches for facial feature detection use the template matching and correlation techniques. These kinds of approaches are very time-consuming and therefore impractical in a real-time systems. In this paper, we propose a useful geometrical face model and an efficient facial feature detection scheme. Based on the fact that human faces are constructed in the same geometrical configuration, the proposed scheme can accurately detect facial features, especially the eyes, even when the images have complex backgrounds. Experimental results demonstrate that the proposed scheme can efficiently detect human facial features and is deal for dealing with the problems caused by bad lighting condition, skew face orientation, and even facial expression.