{"title":"基于合成中间视图的人脸识别","authors":"L. Tang, Thomas S. Huang","doi":"10.1109/MWSCAS.1995.510278","DOIUrl":null,"url":null,"abstract":"This paper describes an approach to face recognition using synthesized intermediate views which are not in the training database but come in the test data set. A 3D face modeling procedure is used to create these synthesized views. This method is evaluated by correlating all synthesized views with real intermediate views.","PeriodicalId":165081,"journal":{"name":"38th Midwest Symposium on Circuits and Systems. Proceedings","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Face recognition using synthesized intermediate views\",\"authors\":\"L. Tang, Thomas S. Huang\",\"doi\":\"10.1109/MWSCAS.1995.510278\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes an approach to face recognition using synthesized intermediate views which are not in the training database but come in the test data set. A 3D face modeling procedure is used to create these synthesized views. This method is evaluated by correlating all synthesized views with real intermediate views.\",\"PeriodicalId\":165081,\"journal\":{\"name\":\"38th Midwest Symposium on Circuits and Systems. Proceedings\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"38th Midwest Symposium on Circuits and Systems. Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MWSCAS.1995.510278\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"38th Midwest Symposium on Circuits and Systems. Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.1995.510278","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Face recognition using synthesized intermediate views
This paper describes an approach to face recognition using synthesized intermediate views which are not in the training database but come in the test data set. A 3D face modeling procedure is used to create these synthesized views. This method is evaluated by correlating all synthesized views with real intermediate views.