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Method for automated categorization of human face images based on facial traits

机译:基于面部特征的人脸图像自动分类方法

摘要

A method for automated categorization of human face images based on facial traits, said method comprising a facial trait extracting phase, comprising the steps of: providing a multitude of images comprising human faces, for each image sampling a multitude of points in said image to obtain point sample data, for each sampled point extracting visual features from said point sample data, for each image assigning said visual features to predefined codewords by applying a codebook transform, for each image extracting facial traits by applying a kernel-based learning method's prediction algorithm to said codewords to establish the probability that a facial trait from a predefined set of facial traits is present in said image, and extract said facial trait for said image if said probability is higher than a predefined threshold.
机译:一种基于面部特征对人脸图像进行自动分类的方法,所述方法包括面部特征提取阶段,包括以下步骤:为每个图像采样所述图像中的多个点以获得包括人脸的大量图像,以获得点样本数据,对于从所述点样本数据中提取视觉特征的每个采样点,对于通过应用码本变换将所述视觉特征分配给预定义码字的每个图像,对于通过将基于核的学习方法的预测算法应用于所述码字确定在所述图像中存在来自预定面部特征集合的面部特征的概率,并且如果所述概率高于预定阈值,则提取所述图像的所述面部特征。

著录项

  • 公开/公告号US8805030B2

    专利类型

  • 公开/公告日2014-08-12

    原文格式PDF

  • 申请/专利权人 CORNELIS GERARDUS MARIA SNOEK;

    申请/专利号US201113149765

  • 发明设计人 CORNELIS GERARDUS MARIA SNOEK;

    申请日2011-05-31

  • 分类号G06K9;G06F17/30;

  • 国家 US

  • 入库时间 2022-08-21 16:06:29

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