A face detection method based on structural analysis and neural network
Hu Tian · Jisuanji gongcheng yu sheji · 2002
In this paper a novel approach concerning a coarse-to-fine face detecting method has been proposed that employed face detecting system with two orders based on geometric analysis and neural network. In the first order, eyes and face are detected by means of their geometric property such as the dimensions of the eyes and the relations between eyes and face. The output of the first order is a normalized face but occasionally companied with one or more none-face caused by the misanalysis of the eyes-like objects in a complex background. The second order is a well-trained neural network, which is used to filtrate the misanalyzed outputs in the first order. This face detecting system with two orders has been proved to be robust and has high accurate detecting rate.