论文标题
儿童面部识别：一项纵向研究
Face Recognition In Children: A Longitudinal Study
论文作者
论文摘要
缺乏高保真度和公开可用的纵向儿童面对数据集是开发儿童面部识别系统的主要因素之一。在这项工作中，我们介绍了年轻的面部衰老（YFA）数据集，以分析儿童短年龄间的面部识别系统的性能。我们通过将YFA与几个公开可用的跨年龄成人数据集进行比较来扩展以前的工作，以量化成年人和儿童年龄差异的影响。我们的分析证实，即使在6个月的短年龄差距为6个月的短年龄差距，也证实了Arcface-Focal，FaceNet Matchers和FaceNet Matchers的匹配分数以及画廊和探测器图像之间的统计学意义和独立的衰减关系。但是，我们的结果表明，先前工作中报告的低验证性能可能是由于匹配器的内部结构和样品的质量较低。我们使用YFA和最先进的，质量吸引的面部匹配器（岩体）的实验表明，98.3％和94.9％的焦油分别超过6个月和36个月的年龄差异，这表明对于年龄间的儿童来说，面部识别可能是可行的，最多三岁。
The lack of high fidelity and publicly available longitudinal children face datasets is one of the main limiting factors in the development of face recognition systems for children. In this work, we introduce the Young Face Aging (YFA) dataset for analyzing the performance of face recognition systems over short age-gaps in children. We expand previous work by comparing YFA with several publicly available cross-age adult datasets to quantify the effects of short age-gap in adults and children. Our analysis confirms a statistically significant and matcher independent decaying relationship between the match scores of ArcFace-Focal, MagFace, and Facenet matchers and the age-gap between the gallery and probe images in children, even at the short age-gap of 6 months. However, our result indicates that the low verification performance reported in previous work might be due to the intra-class structure of the matcher and the lower quality of the samples. Our experiment using YFA and a state-of-the-art, quality-aware face matcher (MagFace) indicates 98.3% and 94.9% TAR at 0.1% FAR over 6 and 36 Months age-gaps, respectively, suggesting that face recognition may be feasible for children for age-gaps of up to three years.
