正面顔画像の自動識別法の検討

抄録

We aim to build an automatic face identification system which is robust against the image variations caused by changes in head orientation, facial expression, lighting conditions etc., We previously developed an automatic face identification system based on a pattern matching method that uses 2D intensity images. The system is composed of three major parts : (i) automatic facial feature extraction which normalizs face size and position in the target image, (ii) extraction features for classification based on Fourier transform and KL expansion, and (iii) classification by Minimum Distance Decision rule. This paper reports the experimental system for automatic front-view face identification. The experimental system is able to automatically identify, within restricted head orientation, lighting and facial expression conditions, several people with high accuracy.