首页> 外国专利> METHOD AND APPARATUS FOR RECOGNIZING IMAGE PATTERN, METHOD AND APPARATUS FOR JUDGING IDENTITY OF IMAGE PATTERNS, RECORDING MEDIUM FOR RECORDING THE PATTERN RECOGNIZING METHOD AND RECORDING MEDIUM FOR RECORDING THE PATTERN IDENTITY JUDGING METHOD

METHOD AND APPARATUS FOR RECOGNIZING IMAGE PATTERN, METHOD AND APPARATUS FOR JUDGING IDENTITY OF IMAGE PATTERNS, RECORDING MEDIUM FOR RECORDING THE PATTERN RECOGNIZING METHOD AND RECORDING MEDIUM FOR RECORDING THE PATTERN IDENTITY JUDGING METHOD

机译:识别图像图案的方法和装置,判定图像图案的身份的方法和装置,用于记录图案识别方法的记录介质以及用于记录图案识别性方法的记录介质

摘要

A plurality of teaching identification face image patterns of teaching persons are obtained in a first pattern obtaining process using an image scanner, and a plurality of teaching video face image patterns of the teaching persons are obtained in a second pattern obtaining process using a video camera. A feature extraction matrix, which minimizes an overlapping area between a pattern distribution of the teaching identification face image patterns and a perturbation distribution between a group of teaching identification face image patterns and a group of teaching video face image patterns, is calculated. In cases where a feature extraction using the feature extraction matrix is performed for referential face image patterns of registered persons obtained in the first pattern obtaining process, referential feature pattern vectors independent of any pattern obtaining process are obtained. When an input face image pattern of a specific person obtained in the second pattern obtaining process is received, the feature extraction is performed for the input face image pattern to obtain an input feature pattern vector independent of any pattern obtaining process. Therefore, the specific person can be recognized as a specific registered person by selecting a specific referential feature pattern vector most similar to the input feature pattern vector.
机译:使用图像扫描仪在第一模式获取过程中获得教师的多个教学识别面部图像图案,并且使用摄像机在第二模式获取过程中获得教师的多个教学视频面部图像图案。计算特征提取矩阵,该特征提取矩阵最小化教学识别面部图像图案的图案分布之间的重叠区域以及一组教学识别面部图像图案和一组教学视频面部图像图案之间的扰动分布。在通过特征提取矩阵对在第一图案获取过程中获得的注册人的参照面部图像图案进行特征提取的情况下,获得与任何图案获取过程无关的参照特征图案矢量。当接收到在第二图案获得处理中获得的特定人物的输入面部图像图案时,对输入面部图像图案进行特征提取以获得独立于任何图案获得处理的输入特征图案矢量。因此,通过选择与输入特征图案矢量最相似的特定参考特征图案矢量,可以将该特定人识别为特定注册人。

著录项

  • 公开/公告号US6628811B1

    专利类型

  • 公开/公告日2003-09-30

    原文格式PDF

  • 申请/专利权人 MATSUSHITA ELECTRIC INDUSTRIAL CO. LTD.;

    申请/专利号US19990271387

  • 发明设计人 MASAKI SOMA;KENJI NAGAO;

    申请日1999-03-18

  • 分类号G06K90/00;

  • 国家 US

  • 入库时间 2022-08-22 00:05:17

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