{"title":"Face^3一个2D+3D鲁棒人脸识别系统","authors":"A. Colombo, C. Cusano, R. Schettini","doi":"10.1109/ICIAP.2007.64","DOIUrl":null,"url":null,"abstract":"We present Face3, a system for the automatic recognition of people using 2D and 3D images. The system implements several innovative algorithms. A full 3D face detector allows the detection effaces regardless their pose and orientation in the scene. A face restoration module allows the recognition even in presence of occlusions. The recognition is performed using a fusion of 2D and 3D data. Finally, in order to relax the hardware constraints, a simplification algorithm is used to reduce the data complexity of the 3D face models.","PeriodicalId":118466,"journal":{"name":"14th International Conference on Image Analysis and Processing (ICIAP 2007)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Face^3 a 2D+3D Robust Face Recognition System\",\"authors\":\"A. Colombo, C. Cusano, R. Schettini\",\"doi\":\"10.1109/ICIAP.2007.64\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present Face3, a system for the automatic recognition of people using 2D and 3D images. The system implements several innovative algorithms. A full 3D face detector allows the detection effaces regardless their pose and orientation in the scene. A face restoration module allows the recognition even in presence of occlusions. The recognition is performed using a fusion of 2D and 3D data. Finally, in order to relax the hardware constraints, a simplification algorithm is used to reduce the data complexity of the 3D face models.\",\"PeriodicalId\":118466,\"journal\":{\"name\":\"14th International Conference on Image Analysis and Processing (ICIAP 2007)\",\"volume\":\"147 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"14th International Conference on Image Analysis and Processing (ICIAP 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIAP.2007.64\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"14th International Conference on Image Analysis and Processing (ICIAP 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAP.2007.64","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We present Face3, a system for the automatic recognition of people using 2D and 3D images. The system implements several innovative algorithms. A full 3D face detector allows the detection effaces regardless their pose and orientation in the scene. A face restoration module allows the recognition even in presence of occlusions. The recognition is performed using a fusion of 2D and 3D data. Finally, in order to relax the hardware constraints, a simplification algorithm is used to reduce the data complexity of the 3D face models.
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