Vinay Kumar, S. Bhooshan, Ankita Sood, Rahul Shahi, S. Mendiratta
{"title":"一种自动红眼检测与矫正的新技术","authors":"Vinay Kumar, S. Bhooshan, Ankita Sood, Rahul Shahi, S. Mendiratta","doi":"10.1109/ICAT.2009.5348430","DOIUrl":null,"url":null,"abstract":"In this study we propose a new system to detect and correct red eye defect in images. The proposed system works in three phases namely face localization, eye localization and red eye removal. Face localization involves method for extracting face from the image. Eye localization locates eye in the face extracted. The red eye defect, if present, is automatically detected and corrected using a simple and straightforward approach.","PeriodicalId":211842,"journal":{"name":"2009 XXII International Symposium on Information, Communication and Automation Technologies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A novel technique for automated red eye detection and correction\",\"authors\":\"Vinay Kumar, S. Bhooshan, Ankita Sood, Rahul Shahi, S. Mendiratta\",\"doi\":\"10.1109/ICAT.2009.5348430\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study we propose a new system to detect and correct red eye defect in images. The proposed system works in three phases namely face localization, eye localization and red eye removal. Face localization involves method for extracting face from the image. Eye localization locates eye in the face extracted. The red eye defect, if present, is automatically detected and corrected using a simple and straightforward approach.\",\"PeriodicalId\":211842,\"journal\":{\"name\":\"2009 XXII International Symposium on Information, Communication and Automation Technologies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 XXII International Symposium on Information, Communication and Automation Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAT.2009.5348430\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 XXII International Symposium on Information, Communication and Automation Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAT.2009.5348430","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel technique for automated red eye detection and correction
In this study we propose a new system to detect and correct red eye defect in images. The proposed system works in three phases namely face localization, eye localization and red eye removal. Face localization involves method for extracting face from the image. Eye localization locates eye in the face extracted. The red eye defect, if present, is automatically detected and corrected using a simple and straightforward approach.