{"title":"基于算法的人脸识别,通过对Q测量值的分析来指示用户的操作","authors":"J. Pęksiński, G. Mikolajczak, J. Kowalski","doi":"10.1109/TSP.2017.8076052","DOIUrl":null,"url":null,"abstract":"In the article, the authors presented their own method of recognising the user's face. The proposed method is based on the analysis of the objective quality measure — Universal Image Quality Measure indication. The applied quality measure, except for recognising users based on the photographs of their faces, was also used in the synchronisation process preceding face recognition — it was used to find the shift as well as the rotation axis and angle between digital images.","PeriodicalId":256818,"journal":{"name":"2017 40th International Conference on Telecommunications and Signal Processing (TSP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recognising the user's face based on algorithms using the analysis of Q measure indication for their operation\",\"authors\":\"J. Pęksiński, G. Mikolajczak, J. Kowalski\",\"doi\":\"10.1109/TSP.2017.8076052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the article, the authors presented their own method of recognising the user's face. The proposed method is based on the analysis of the objective quality measure — Universal Image Quality Measure indication. The applied quality measure, except for recognising users based on the photographs of their faces, was also used in the synchronisation process preceding face recognition — it was used to find the shift as well as the rotation axis and angle between digital images.\",\"PeriodicalId\":256818,\"journal\":{\"name\":\"2017 40th International Conference on Telecommunications and Signal Processing (TSP)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 40th International Conference on Telecommunications and Signal Processing (TSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TSP.2017.8076052\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 40th International Conference on Telecommunications and Signal Processing (TSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TSP.2017.8076052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recognising the user's face based on algorithms using the analysis of Q measure indication for their operation
In the article, the authors presented their own method of recognising the user's face. The proposed method is based on the analysis of the objective quality measure — Universal Image Quality Measure indication. The applied quality measure, except for recognising users based on the photographs of their faces, was also used in the synchronisation process preceding face recognition — it was used to find the shift as well as the rotation axis and angle between digital images.