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

机译:基于LDA的人脸识别,使用多个距离训练的人脸图像,用户协作程度低

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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.
机译:基于LDA的人脸识别使用按实际距离的人脸图像作为训练图像显示出良好的性能。然而,由于这需要用户亲自移动多个距离来获取用于初始用户注册的面部图像,因此这给用户带来不便。在本文中,提出了适用于机器人环境的基于LDA的人脸识别。所提出的方法可以通过在没有用户合作的情况下放大用户的面部来按距离获得面部图像,并将这些图像用于训练。实验结果表明,该方法的人脸识别性能与基于距离的人脸图像的方法的识别效果一样好,后者是在用户位于固定距离内的固定位置进行训练后拍摄的。

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