...
首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Recognition of facial images with low resolution using a Hopfield memory model
【24h】

Recognition of facial images with low resolution using a Hopfield memory model

机译:使用Hopfield记忆模型识别低分辨率的人脸图像

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

In this paper, a new method to recognize facial images with low resolution by utilizing the Hopfield model is presented. In this method, a Hopfield memory model for the facial images is organized and the optimal procedure of the unlearning is determined. Based on the composed Hopfield memory model, the relation between the reliability of the recalls and the number of faces memorized in the Hopfield memory is analyzed. Finally, the method for the face recognition using the Hopfield memory model combined with the pattern matching is proposed. The experimental results for face recognition are also represented and analyzed. (C) 1997 Pattern Recognition Society. Published by Elsevier Science Ltd. [References: 12]
机译:本文提出了一种新的利用Hopfield模型识别低分辨率人脸图像的方法。在这种方法中,组织了用于面部图像的霍普菲尔德记忆模型,并确定了学习的最佳过程。基于组合的Hopfield记忆模型,分析了召回的可靠性与Hopfield记忆中存储的面孔数量之间的关系。最后,提出了一种基于Hopfield记忆模型与模式匹配相结合的人脸识别方法。人脸识别的实验结果也被表示和分析。 (C)1997模式识别学会。由Elsevier Science Ltd.发布[参考:12]

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号