ニューラルネットワークを用いた顔の向きによらない人物画像の識別

抄録

In this paper, we propose a view invariant method for face discrimination using two kinds of three-layered neural networks. The first neural network learns informations of face obtained from different view point. Considering the human visual mechanism, two images from different views are fed into the first neural network. The second neural network integrates the outputs of the first neural network and recognizes a person. Our method has achieved a recognition rate of 100% on a database of 20 persons containing 150 images per person.