主成分分析应用于输入数据的神经内部表示——在人脸识别中的应用

International Symposium on VIPromCom Video/Image Processing and Multimedia Communications Pub Date : 2002-11-07 DOI:10.1109/VIPROM.2002.1026629

Milog Oravec

{"title":"主成分分析应用于输入数据的神经内部表示——在人脸识别中的应用","authors":"Milog Oravec","doi":"10.1109/VIPROM.2002.1026629","DOIUrl":null,"url":null,"abstract":"An original method of feature extraction from image data is introduced using MLP (multilayer perceptron) and PCA (principal component analysis). This method is used in a human face recognition system and results are compared to a face recognition system using PCA directly and to a system with direct classification of input images by MLP.","PeriodicalId":223771,"journal":{"name":"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PCA applied to neural internal representation of input data - application to face recognition\",\"authors\":\"Milog Oravec\",\"doi\":\"10.1109/VIPROM.2002.1026629\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An original method of feature extraction from image data is introduced using MLP (multilayer perceptron) and PCA (principal component analysis). This method is used in a human face recognition system and results are compared to a face recognition system using PCA directly and to a system with direct classification of input images by MLP.\",\"PeriodicalId\":223771,\"journal\":{\"name\":\"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VIPROM.2002.1026629\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on VIPromCom Video/Image Processing and Multimedia Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VIPROM.2002.1026629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

介绍了一种基于多层感知机和主成分分析的图像数据特征提取方法。将该方法应用于人脸识别系统，并将结果与直接使用PCA的人脸识别系统和直接使用MLP对输入图像进行分类的系统进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

PCA applied to neural internal representation of input data - application to face recognition

An original method of feature extraction from image data is introduced using MLP (multilayer perceptron) and PCA (principal component analysis). This method is used in a human face recognition system and results are compared to a face recognition system using PCA directly and to a system with direct classification of input images by MLP.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

International Symposium on VIPromCom Video/Image Processing and Multimedia Communications

自引率

0.00%

发文量