National Institute of Standards and Technology (NIST), Gaithersburg, MD 20899, USA.
IEEE Trans Pattern Anal Mach Intell. 2010 May;32(5):831-46. doi: 10.1109/TPAMI.2009.59.
This paper describes the large-scale experimental results from the Face Recognition Vendor Test (FRVT) 2006 and the Iris Challenge Evaluation (ICE) 2006. The FRVT 2006 looked at recognition from high-resolution still frontal face images and 3D face images, and measured performance for still frontal face images taken under controlled and uncontrolled illumination. The ICE 2006 evaluation reported verification performance for both left and right irises. The images in the ICE 2006 intentionally represent a broader range of quality than the ICE 2006 sensor would normally acquire. This includes images that did not pass the quality control software embedded in the sensor. The FRVT 2006 results from controlled still and 3D images document at least an order-of-magnitude improvement in recognition performance over the FRVT 2002. The FRVT 2006 and the ICE 2006 compared recognition performance from high-resolution still frontal face images, 3D face images, and the single-iris images. On the FRVT 2006 and the ICE 2006 data sets, recognition performance was comparable for high-resolution frontal face, 3D face, and the iris images. In an experiment comparing human and algorithms on matching face identity across changes in illumination on frontal face images, the best performing algorithms were more accurate than humans on unfamiliar faces.
本文介绍了人脸识别供应商测试（FRVT）2006 年和虹膜挑战赛评估（ICE）2006 年的大规模实验结果。FRVT 2006 研究了高分辨率正面静态人脸图像和 3D 人脸图像的识别，并测量了在受控和非受控光照条件下拍摄的正面静态人脸图像的性能。ICE 2006 评估报告了左右虹膜的验证性能。ICE 2006 中的图像故意代表比 ICE 2006 传感器通常获取的更广泛的质量范围。这包括未通过传感器中嵌入的质量控制软件的图像。受控静态和 3D 图像的 FRVT 2006 结果记录了在 FRVT 2002 之上的识别性能至少提高了一个数量级。FRVT 2006 和 ICE 2006 比较了高分辨率正面静态人脸图像、3D 人脸图像和单虹膜图像的识别性能。在 FRVT 2006 和 ICE 2006 数据集上，高分辨率正面人脸、3D 人脸和虹膜图像的识别性能相当。在一项比较人类和算法在正面人脸图像光照变化下匹配人脸身份的实验中，表现最好的算法在不熟悉的面孔上比人类更准确。
