{"title":"基于FastICA算法的人脸识别","authors":"Xianqiu Wang, Xiaoli Huang, Xiubi Wang","doi":"10.1109/ICCASE.2011.5997715","DOIUrl":null,"url":null,"abstract":"A new adaptive feature extraction method of facial image based on FastICA algorithm is presented. We present favorable comparisons to the Fixed-point ICA algorithm and the Power ICA algorithm in extensive simulations. Experimental results have demonstrated that the proposed method can not only yields the highest performance for identifying faces but also significant improves the face recognition performance.","PeriodicalId":369749,"journal":{"name":"2011 International Conference on Control, Automation and Systems Engineering (CASE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Face Recognition Using FastICA Algorithm\",\"authors\":\"Xianqiu Wang, Xiaoli Huang, Xiubi Wang\",\"doi\":\"10.1109/ICCASE.2011.5997715\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new adaptive feature extraction method of facial image based on FastICA algorithm is presented. We present favorable comparisons to the Fixed-point ICA algorithm and the Power ICA algorithm in extensive simulations. Experimental results have demonstrated that the proposed method can not only yields the highest performance for identifying faces but also significant improves the face recognition performance.\",\"PeriodicalId\":369749,\"journal\":{\"name\":\"2011 International Conference on Control, Automation and Systems Engineering (CASE)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Control, Automation and Systems Engineering (CASE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCASE.2011.5997715\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Control, Automation and Systems Engineering (CASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCASE.2011.5997715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new adaptive feature extraction method of facial image based on FastICA algorithm is presented. We present favorable comparisons to the Fixed-point ICA algorithm and the Power ICA algorithm in extensive simulations. Experimental results have demonstrated that the proposed method can not only yields the highest performance for identifying faces but also significant improves the face recognition performance.