{"title":"基于LDA的彩色人脸识别改进NMF","authors":"Xiaoming Bai, Chengzhang Wang","doi":"10.1109/ICNDS.2010.5479607","DOIUrl":null,"url":null,"abstract":"Color face is composed of information of different channels and provides more cues for recognition than grey scale one. A revised NMF with LDA based color face recognition approach is proposed in this paper. Block diagonal matrix is exploited to encode color information of different channels. And block diagonal constraint is imposed on NMF to factorize matrix. Class information of face samples is integrated into the approach through LDA on factorization coefficients. Experimental results on CVL and CMU PIE databases verify the effectiveness of the proposed approach.","PeriodicalId":403283,"journal":{"name":"2010 International Conference on Networking and Digital Society","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Revised NMF with LDA based color face recognition\",\"authors\":\"Xiaoming Bai, Chengzhang Wang\",\"doi\":\"10.1109/ICNDS.2010.5479607\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Color face is composed of information of different channels and provides more cues for recognition than grey scale one. A revised NMF with LDA based color face recognition approach is proposed in this paper. Block diagonal matrix is exploited to encode color information of different channels. And block diagonal constraint is imposed on NMF to factorize matrix. Class information of face samples is integrated into the approach through LDA on factorization coefficients. Experimental results on CVL and CMU PIE databases verify the effectiveness of the proposed approach.\",\"PeriodicalId\":403283,\"journal\":{\"name\":\"2010 International Conference on Networking and Digital Society\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Networking and Digital Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNDS.2010.5479607\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Networking and Digital Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNDS.2010.5479607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Color face is composed of information of different channels and provides more cues for recognition than grey scale one. A revised NMF with LDA based color face recognition approach is proposed in this paper. Block diagonal matrix is exploited to encode color information of different channels. And block diagonal constraint is imposed on NMF to factorize matrix. Class information of face samples is integrated into the approach through LDA on factorization coefficients. Experimental results on CVL and CMU PIE databases verify the effectiveness of the proposed approach.
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