{"title":"使用kinect技术进行人脸识别","authors":"Ana-Andreea Nagat, C. Căleanu","doi":"10.1109/SACI.2013.6608961","DOIUrl":null,"url":null,"abstract":"Face recognition is one of the most widely studied problems in computer science due to various advantages, such as universality, robustness, permanence and accessibility [1]. It becomes increasingly important in many applications, including urban surveillance, home security, and healthcare [2]. Our approach aims human identification using soft biometrics (face, skeleton) extracted from 2D and 3D video sources. The proposed solution is based on low cost hardware [3].","PeriodicalId":304729,"journal":{"name":"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Face identification using kinect technology\",\"authors\":\"Ana-Andreea Nagat, C. Căleanu\",\"doi\":\"10.1109/SACI.2013.6608961\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Face recognition is one of the most widely studied problems in computer science due to various advantages, such as universality, robustness, permanence and accessibility [1]. It becomes increasingly important in many applications, including urban surveillance, home security, and healthcare [2]. Our approach aims human identification using soft biometrics (face, skeleton) extracted from 2D and 3D video sources. The proposed solution is based on low cost hardware [3].\",\"PeriodicalId\":304729,\"journal\":{\"name\":\"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI.2013.6608961\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2013.6608961","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Face recognition is one of the most widely studied problems in computer science due to various advantages, such as universality, robustness, permanence and accessibility [1]. It becomes increasingly important in many applications, including urban surveillance, home security, and healthcare [2]. Our approach aims human identification using soft biometrics (face, skeleton) extracted from 2D and 3D video sources. The proposed solution is based on low cost hardware [3].
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