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The FERET evaluation methodology for face-recognition algorithms

机译:人脸识别算法的FERET评估方法

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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 state of the art, 2) identify future areas of research, and 3) measure algorithm performance.
机译:支持生产可靠的面部识别系统的两个最关键的要求是大型的面部图像数据库和评估系统的测试程序。人脸识别技术(FERET)程序已通过人脸图像的FERET数据库和建立FERET测试解决了这两个问题。迄今为止,FERET数据库中包含来自1,199个人的14,126张图像,该数据库分为数据库的展开部分和隔离部分。 1996年9月,FERET程序在一系列FERET人脸识别测试中进行了第三次测试。第三次测试的主要目标是:1)评估最新技术水平; 2)确定未来的研究领域; 3)评估算法性能。

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