公开(公告)号：US20080130962A1

公开(公告)日：2008-06-05

申请号：US11828651

申请日：2007-07-26

申请人： Yongjin LEE ,  Ki-Young MOON ,  Kyo-II CHUNG

发明人： Yongjin LEE ,  Ki-Young MOON ,  Kyo-II CHUNG

IPC分类号： G06K9/00

CPC分类号： G06K9/00288 ,  G06K9/00275

摘要： A method and apparatus for extracting a face feature to construct a face search system having a high recognition rate are provided. The method includes calculating an average image of each of a plurality of candidates having one or more face images to which different weights are given according to an order in which the face images are acquired and calculating a total average image of all face images of the plurality of candidates, calculating a between-class scatter matrix based on a difference between each candidate's average image and the total average image and a within-class scatter matrix based on a difference between each candidate's average image and each candidate's predetermined face image of the one or more face images, and generating a base vector that maximizes a criterion defined by a ratio between the between-class scatter matrix and the within-class scatter matrix.

摘要翻译： 提供了一种用于提取面部特征以构建具有高识别率的面部搜索系统的方法和装置。 该方法包括根据获取脸部图像的顺序来计算具有一个或多个面部图像的多个候选者中的每一个的平均图像，并且计算多个面部图像的全部平均图像 基于每个候选人的平均图像与总平均图像之间的差异以及基于每个候选者的平均图像与每个候选者的平均图像与每个候选者的预定面部图像之间的差异的类内分散矩阵来计算类间散布矩阵， 并且生成最大化由类间散布矩阵和类内散布矩阵之间的比率定义的标准的基本向量。