{"title":"基于高维几何仿生模式识别的人脸识别","authors":"Youzheng Zhang, Hao Feng, Lijun Ding","doi":"10.1109/DBTA.2010.5658942","DOIUrl":null,"url":null,"abstract":"High-dimensional geometry is a vehicle to achieve biomimetic pattern recognition, which is a new model for recognition science and always to construct convex cell bodies for covering samples points in the space. By this way, in this paper, some k- dimension simplex were constructed for the purpose of covering the sample points of each class in the feature space, and then computed each the shortest distance between a sample waiting for recognizing and each simplex for face recognition. The method was applied for some famous face database, and the experimental results indicated that it was better than that of SVM,and indicated its effectiveness and feasibility.","PeriodicalId":320509,"journal":{"name":"2010 2nd International Workshop on Database Technology and Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Face Recognition Based on Biomimetic Pattern Recognition by High-Dimensional Geometry\",\"authors\":\"Youzheng Zhang, Hao Feng, Lijun Ding\",\"doi\":\"10.1109/DBTA.2010.5658942\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High-dimensional geometry is a vehicle to achieve biomimetic pattern recognition, which is a new model for recognition science and always to construct convex cell bodies for covering samples points in the space. By this way, in this paper, some k- dimension simplex were constructed for the purpose of covering the sample points of each class in the feature space, and then computed each the shortest distance between a sample waiting for recognizing and each simplex for face recognition. The method was applied for some famous face database, and the experimental results indicated that it was better than that of SVM,and indicated its effectiveness and feasibility.\",\"PeriodicalId\":320509,\"journal\":{\"name\":\"2010 2nd International Workshop on Database Technology and Applications\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Workshop on Database Technology and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DBTA.2010.5658942\",\"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 2nd International Workshop on Database Technology and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DBTA.2010.5658942","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Face Recognition Based on Biomimetic Pattern Recognition by High-Dimensional Geometry
High-dimensional geometry is a vehicle to achieve biomimetic pattern recognition, which is a new model for recognition science and always to construct convex cell bodies for covering samples points in the space. By this way, in this paper, some k- dimension simplex were constructed for the purpose of covering the sample points of each class in the feature space, and then computed each the shortest distance between a sample waiting for recognizing and each simplex for face recognition. The method was applied for some famous face database, and the experimental results indicated that it was better than that of SVM,and indicated its effectiveness and feasibility.
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