{"title":"基于局部二值模式图像的光照归一化","authors":"Y. Cheng, Zhigang Jin, Cunming Hao","doi":"10.1109/IHMSC.2012.29","DOIUrl":null,"url":null,"abstract":"This paper presents a novel and efficient illumination normalization method based on the local binary pattern Image (LBPI). LBPI is a global description combined by the descriptions of every points in the face image using the local binary pattern (LBP) Compared with the traditional approaches, the experimental results show that our algorithms can significantly improve the performance of face recognition under varying illumination conditions on Yale Face database B.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Illumination Normalization Based on Local Binary Pattern Image\",\"authors\":\"Y. Cheng, Zhigang Jin, Cunming Hao\",\"doi\":\"10.1109/IHMSC.2012.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel and efficient illumination normalization method based on the local binary pattern Image (LBPI). LBPI is a global description combined by the descriptions of every points in the face image using the local binary pattern (LBP) Compared with the traditional approaches, the experimental results show that our algorithms can significantly improve the performance of face recognition under varying illumination conditions on Yale Face database B.\",\"PeriodicalId\":431532,\"journal\":{\"name\":\"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC.2012.29\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2012.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Illumination Normalization Based on Local Binary Pattern Image
This paper presents a novel and efficient illumination normalization method based on the local binary pattern Image (LBPI). LBPI is a global description combined by the descriptions of every points in the face image using the local binary pattern (LBP) Compared with the traditional approaches, the experimental results show that our algorithms can significantly improve the performance of face recognition under varying illumination conditions on Yale Face database B.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
