The FERET evaluation methodology for face-recognition algorithms
The FERET evaluation methodology for face-recognition algorithms
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DOI：
10.1109/34.879790
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发表时间：
2000-10-01
影响因子：
23.6
通讯作者：
Rauss, PJ
中科院分区：
文献类型：
--
作者：
Phillips, PJ;Moon, H;Rauss, PJ
支持生产可靠的人脸识别系统的两个最关键的要求是一个大型的人脸图像数据库和一个评估系统的测试程序。人脸识别技术（FERET）计划通过FERET面部图像数据库和FERET测试的建立解决了这两个问题。到目前为止，FERET数据库中有来自1 199人的14 126张图像，该数据库分为数据库的发展部分和隔离部分。1996年9月，FERET计划进行了一系列FERET面部识别测试中的第三次。第三项测试的主要目的是：1）评估最新技术，2）确定未来的研究领域，3）测量算法性能。
Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial images and the establishment of the FERET tests. To date, 14,126 images from 1,199 individuals are included in the FERET database, which is divided into development and sequestered portions of the database. In September 1996, the FERET program administered the third in a series of FERET face-recognition tests. The primary objectives of the third test were to 1) assess the slate of the art, 2) identify future areas of research, and 3) measure algorithm performance.