{"title":"面向三维人脸建模的人脸特征检测","authors":"G. Rozinaj, F.-L. Mistral","doi":"10.1109/ICIT.2003.1290788","DOIUrl":null,"url":null,"abstract":"This paper presents the detection algorithm developed for the specific application of 3D face modeling. The main goal of this algorithm developed under VC++ is to localize accurately some specific and needed points of facial features, to allow a 3D face creation. Instead of using some predefined 3D face model, the program process on two photos of a real subject, one from front view and the other from profile. It permits us to obtain the three coordinates for each localized point on the face. A data normalization allows face modeling using the openGL engine.","PeriodicalId":193510,"journal":{"name":"IEEE International Conference on Industrial Technology, 2003","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Facial features detection for 3D face modeling\",\"authors\":\"G. Rozinaj, F.-L. Mistral\",\"doi\":\"10.1109/ICIT.2003.1290788\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the detection algorithm developed for the specific application of 3D face modeling. The main goal of this algorithm developed under VC++ is to localize accurately some specific and needed points of facial features, to allow a 3D face creation. Instead of using some predefined 3D face model, the program process on two photos of a real subject, one from front view and the other from profile. It permits us to obtain the three coordinates for each localized point on the face. A data normalization allows face modeling using the openGL engine.\",\"PeriodicalId\":193510,\"journal\":{\"name\":\"IEEE International Conference on Industrial Technology, 2003\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Industrial Technology, 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2003.1290788\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Industrial Technology, 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2003.1290788","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents the detection algorithm developed for the specific application of 3D face modeling. The main goal of this algorithm developed under VC++ is to localize accurately some specific and needed points of facial features, to allow a 3D face creation. Instead of using some predefined 3D face model, the program process on two photos of a real subject, one from front view and the other from profile. It permits us to obtain the three coordinates for each localized point on the face. A data normalization allows face modeling using the openGL engine.