唇検出ニューラルネットワークと肌色識別ニューラルネットワークによるカラー画像中からの顔領域の検索法

抄録

In this paper, we propose a new method to examine whether or not human faces are included in color images by using a lip detection neural network (LDNN) and a skin distinction neural network (SDNN). In conventional methods, if there are the same color as scenes, the domain which is accepted as not only the skin color but any other color can be searched. However, first, the lip are detected by the LDNN in the pro-posed method. Next, SDNN is utilized to distinguish the skin color from the other. The proposed method can obtain relatively high recognition accuracy, since it have the double recognition structure of LDNN and SDNN.
Finally, in order to demonstrate the effectiveness of the proposed scheme, computer simulations were performed. First, 100 lip color, 100 skin color and 100 background pictures, which are picture changed into 10×10 pixels, are prepared for training. The validity was verified by testing images containing several faces.