基于特征的人脸识别系统

12th International Conference on Image Analysis and Processing, 2003.Proceedings. Pub Date : 2003-09-17 DOI:10.1109/ICIAP.2003.1234027

P. Campadelli, R. Lanzarotti, Chiara Savazzi

{"title":"基于特征的人脸识别系统","authors":"P. Campadelli, R. Lanzarotti, Chiara Savazzi","doi":"10.1109/ICIAP.2003.1234027","DOIUrl":null,"url":null,"abstract":"A completely automatic face recognition system is presented. The method works on color and gray level images: after having localized the face and the facial features, it determines 16 facial fiducial points, and characterizes them by applying a bank of filters which extract the peculiar texture around them (jets). Recognition is realized by measuring the similarity between the different jets. The system is inspired by the elastic bunch graph method, but the fiducial point localization does not require any manual setting or operator intervention.","PeriodicalId":218076,"journal":{"name":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":"{\"title\":\"A feature-based face recognition system\",\"authors\":\"P. Campadelli, R. Lanzarotti, Chiara Savazzi\",\"doi\":\"10.1109/ICIAP.2003.1234027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A completely automatic face recognition system is presented. The method works on color and gray level images: after having localized the face and the facial features, it determines 16 facial fiducial points, and characterizes them by applying a bank of filters which extract the peculiar texture around them (jets). Recognition is realized by measuring the similarity between the different jets. The system is inspired by the elastic bunch graph method, but the fiducial point localization does not require any manual setting or operator intervention.\",\"PeriodicalId\":218076,\"journal\":{\"name\":\"12th International Conference on Image Analysis and Processing, 2003.Proceedings.\",\"volume\":\"98 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"37\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"12th International Conference on Image Analysis and Processing, 2003.Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIAP.2003.1234027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAP.2003.1234027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 37

摘要

提出了一种全自动人脸识别系统。该方法适用于彩色和灰度图像:在对面部和面部特征进行定位后，确定16个面部基点，并通过应用一组滤波器提取它们周围的特殊纹理(射流)来表征它们。通过测量不同喷流之间的相似性来实现识别。该系统受到弹性束图方法的启发，但基点定位不需要任何人工设置或操作员的干预。

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

A feature-based face recognition system

A completely automatic face recognition system is presented. The method works on color and gray level images: after having localized the face and the facial features, it determines 16 facial fiducial points, and characterizes them by applying a bank of filters which extract the peculiar texture around them (jets). Recognition is realized by measuring the similarity between the different jets. The system is inspired by the elastic bunch graph method, but the fiducial point localization does not require any manual setting or operator intervention.

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

12th International Conference on Image Analysis and Processing, 2003.Proceedings.

自引率

0.00%

发文量