Remarks on Gender/Race Classification from Low Resolution Facial Image.
Kazuhiko Takahashi · IEEJ Transactions on Electronics Information and Systems · 2003
This paper investigates which feature of the face is focused on by human and/or computer in the classifi-cation of attributes, such as gender and human race, from facial image. The classification experiments withhuman subjects and/or artificial neural networks are carried out using the center of the face as the stimulus and/or input image. The experimental results show that human and the artificial neural network can classify the attributes from low resolution facial images and the feature parts are good agreement between human and the artificial neural network.