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FACIAL IMAGE CLUSTERING METHOD AND APPARATUS, AND COMPUTER-READABLE STORAGE MEDIUM

机译:面部图像聚类方法和装置,以及计算机可读存储介质

摘要

Provided are a facial image clustering method and apparatus, and a computer-readable storage medium. The method comprises the following steps: acquiring training sample data of a facial image, the largest characteristic amount corresponding to the training sample data, and a data set to be clustered of a facial image to be clustered; inputting the training sample data and the largest characteristic amount into a BP-Deep NMF model, training the BP-Deep NMF model, and determining a base image amount of the facial image to be clustered; and on the basis of the base image amount and the data set to be clustered, classifying, by means of a preset clustering rule, the facial image to be clustered, and determining a clustering result of the data set to be clustered, so as to obtain a classification result of the facial image to be clustered.
机译:提供是面部图像聚类方法和装置,以及计算机可读存储介质。该方法包括以下步骤:获取面部图像的训练样本数据,对应于训练样本数据的最大特征量,以及要集群的面部图像被聚类的数据集;将训练样本数据和最大特征量输入到BP深NMF模型中,训练BP深NMF模型,并确定要聚集的面部图像的基础图像量;并且基于基础图像量和数据集以群集群集,借助于预设的聚类规则,要群集的面部图像,并确定要群集的数据集的聚类结果,以便获取要群集的面部图像的分类结果。

著录项

  • 公开/公告号WO2021114262A1

    专利类型

  • 公开/公告日2021-06-17

    原文格式PDF

  • 申请/专利权人 SHENZHEN UNIVERSITY;

    申请/专利号WO2019CN125298

  • 发明设计人 CHEN WENSHENG;ZENG QIANWEN;

    申请日2019-12-13

  • 分类号G06K9/62;

  • 国家 CN

  • 入库时间 2022-08-24 19:27:50

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