LDA-based face recognition using multiple distance training face images with low user cooperation

摘要

The LDA-based face recognition using face images by actual distance as training images showed good performance. However, it causes user inconvenience as it requires the user to move multiple distance in person to acquire face images for initial user registration. In this paper, LDA-based face recognition applicable to robotic environments is proposed. The proposed method can get face images by distance by zooming in on face of users without their cooperation and use those images for training. The experimental results show that the face recognition performance of the proposed method was as good as that of the method using face images by distance, which are taken after users are located at fixed positions within a fixed distance, for training.