• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

对跨年龄段儿童图像进行面部比较的从业人员的表现。

The performance of practitioners conducting facial comparisons on images of children across age.

机构信息

Defence Science and Technology Group, Edinburgh, South Australia, Australia.

School of Psychology, University of Adelaide, Adelaide, South Australia, Australia.

出版信息

PLoS One. 2019 Nov 19;14(11):e0225298. doi: 10.1371/journal.pone.0225298. eCollection 2019.

DOI:10.1371/journal.pone.0225298
PMID:31743373
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6863535/
Abstract

Determining the identity of children is critical to aid in the fight against child exploitation, as well as for passport control and visa issuance purposes. Facial image comparison is one method that may be used to determine identity. Due to the substantial amount of facial growth that occurs in childhood, it is critical to understand facial image comparison performance across both chronological age (the age of the child), and age variation (the age difference between images). In this study we examined the performance of 120 facial comparison practitioners from a government agency on a dataset of 23,760 image pairs selected from the agency's own database of controlled, operational images. Each chronological age in childhood (0-17 years) and age variations ranging from 0-10 years were examined. Practitioner performance was found to vary considerably across childhood, and depended on whether the pairs were mated (same child) or non-mated (different child). Overall, practitioners were more accurate and confident with image pairs containing older children, and also more accurate and confident with smaller age variations. Chronological age impacted on accuracy with mated pairs, but age variation did not. In contrast, both age and age variation impacted on accuracy with non-mated pairs. These differences in performance show that changes in the face throughout childhood have a significant impact on practitioner performance. We propose that improvements in accuracy may be achievable with a better understanding of which facial features are most appropriate to compare across childhood, and adjusting training and development programs accordingly.

摘要

确定儿童的身份对于打击儿童剥削、护照管制和签证发放至关重要。面部图像比对是一种可能用于确定身份的方法。由于儿童在成长过程中面部会发生大量变化,因此了解跨年龄(儿童年龄)和年龄变化(图像之间的年龄差异)的面部图像比对性能非常重要。在这项研究中,我们检查了来自政府机构的 120 名面部比较从业者在从该机构自己的受控操作图像数据库中选择的 23760 对图像数据集上的表现。检查了童年时期的每个年龄(0-17 岁)和年龄变化范围(0-10 年)。研究发现,从业者的表现随儿童时期的变化而有很大的差异,并且取决于图像对是匹配的(同一儿童)还是不匹配的(不同儿童)。总体而言,从业者在包含年龄较大的儿童的图像对中表现更准确、更自信,并且在年龄变化较小的情况下表现更准确、更自信。匹配的图像对的年龄会影响准确性,但年龄变化不会。相比之下,不匹配的图像对的年龄和年龄变化都会影响准确性。这些性能差异表明,儿童期面部的变化对面部比较从业者的表现有重大影响。我们提出,通过更好地了解在整个儿童期最适合比较的面部特征,并相应地调整培训和发展计划,准确性可能会有所提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/73b37fd35b7a/pone.0225298.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/9f35fbf5a8b8/pone.0225298.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/888e2505a8b6/pone.0225298.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/afe924086cd1/pone.0225298.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/495d761e7a85/pone.0225298.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/7e7c3842a84b/pone.0225298.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/cb28a27fdaca/pone.0225298.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/73b37fd35b7a/pone.0225298.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/9f35fbf5a8b8/pone.0225298.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/888e2505a8b6/pone.0225298.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/afe924086cd1/pone.0225298.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/495d761e7a85/pone.0225298.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/7e7c3842a84b/pone.0225298.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/cb28a27fdaca/pone.0225298.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecde/6863535/73b37fd35b7a/pone.0225298.g007.jpg

相似文献

1
The performance of practitioners conducting facial comparisons on images of children across age.对跨年龄段儿童图像进行面部比较的从业人员的表现。
PLoS One. 2019 Nov 19;14(11):e0225298. doi: 10.1371/journal.pone.0225298. eCollection 2019.
2
Facial Age Estimation With Age Difference.基于年龄差的人脸年龄估计
IEEE Trans Image Process. 2017 Jul;26(7):3087-3097. doi: 10.1109/TIP.2016.2633868. Epub 2016 Dec 1.
3
Investigation into the use of photoanthropometry in facial image comparison.照片人类学在面部图像比对中的应用研究。
Forensic Sci Int. 2011 Oct 10;212(1-3):231-7. doi: 10.1016/j.forsciint.2011.06.023. Epub 2011 Jul 28.
4
Estimating age and synthesising growth in children and adolescents using 3D facial prototypes.使用3D面部原型估计儿童和青少年的年龄并合成生长情况。
Forensic Sci Int. 2018 May;286:61-69. doi: 10.1016/j.forsciint.2018.02.024. Epub 2018 Mar 6.
5
Juvenile age estimation from facial images.从面部图像估计青少年年龄。
Sci Justice. 2017 Jan;57(1):58-62. doi: 10.1016/j.scijus.2016.08.005. Epub 2016 Aug 11.
6
Age Estimation and Age-related Facial Reconstruction of Xinjiang Uygur Males by Three-dimensional Human Facial Images.基于三维人脸图像的新疆维吾尔族男性年龄估计及年龄相关面部重建
Fa Yi Xue Za Zhi. 2018 Aug;34(4):363-369. doi: 10.12116/j.issn.1004-5619.2018.04.004. Epub 2018 Aug 25.
7
Are contemporary facial recognition algorithms making human facial comparison performance worse?当代人脸识别算法是否使人类的面部比较性能变差?
Forensic Sci Int. 2024 Nov;364:112202. doi: 10.1016/j.forsciint.2024.112202. Epub 2024 Aug 23.
8
Facial emotion recognition in childhood-onset bipolar I disorder: an evaluation of developmental differences between youths and adults.儿童期起病的双相 I 型障碍中的面部情绪识别:青少年与成年人发育差异的评估
Bipolar Disord. 2015 Aug;17(5):471-85. doi: 10.1111/bdi.12312. Epub 2015 May 8.
9
The relationships between processing facial identity, emotional expression, facial speech, and gaze direction during development.在发展过程中,面部身份、情感表达、面部言语和注视方向之间的关系。
J Exp Child Psychol. 2010 Jan-Feb;105(1-2):1-19. doi: 10.1016/j.jecp.2009.09.003. Epub 2009 Nov 4.
10
An optimized ERP brain-computer interface based on facial expression changes.一种基于面部表情变化的优化型事件相关电位脑机接口。
J Neural Eng. 2014 Jun;11(3):036004. doi: 10.1088/1741-2560/11/3/036004. Epub 2014 Apr 17.

引用本文的文献

1
Diagnostic Features for Human Categorisation of Adult and Child Faces.成人与儿童面部的人类分类诊断特征。
Front Psychol. 2021 Nov 19;12:775338. doi: 10.3389/fpsyg.2021.775338. eCollection 2021.

本文引用的文献

1
Unfamiliar face matching with photographs of infants and children.将不熟悉的面孔与婴幼儿照片进行匹配。
PeerJ. 2018 Jun 11;6:e5010. doi: 10.7717/peerj.5010. eCollection 2018.
2
Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms.法医鉴定人、超级识别者和人脸识别算法的人脸识别准确率。
Proc Natl Acad Sci U S A. 2018 Jun 12;115(24):6171-6176. doi: 10.1073/pnas.1721355115. Epub 2018 May 29.
3
Feature-by-feature comparison and holistic processing in unfamiliar face matching.陌生面孔匹配中的逐个特征比较与整体加工
PeerJ. 2018 Feb 26;6:e4437. doi: 10.7717/peerj.4437. eCollection 2018.
4
The effect of the proportion of mismatching trials and task orientation on the confidence-accuracy relationship in unfamiliar face matching.不匹配试验比例和任务导向对不熟悉面孔匹配中信心-准确性关系的影响。
J Exp Psychol Appl. 2017 Sep;23(3):336-353. doi: 10.1037/xap0000130. Epub 2017 Aug 14.
5
Evaluating the feature comparison strategy for forensic face identification.评估用于法医面部识别的特征比较策略。
J Exp Psychol Appl. 2017 Mar;23(1):47-58. doi: 10.1037/xap0000108. Epub 2017 Jan 2.
6
Error Rates in Users of Automatic Face Recognition Software.自动人脸识别软件用户中的错误率。
PLoS One. 2015 Oct 14;10(10):e0139827. doi: 10.1371/journal.pone.0139827. eCollection 2015.
7
Perceptual expertise in forensic facial image comparison.法医面部图像比对中的感知专长。
Proc Biol Sci. 2015 Sep 7;282(1814). doi: 10.1098/rspb.2015.1292.
8
Recognizing age-separated face images: humans and machines.识别年龄分离的面部图像:人类与机器。
PLoS One. 2014 Dec 4;9(12):e112234. doi: 10.1371/journal.pone.0112234. eCollection 2014.
9
Passport officers' errors in face matching.护照官员在面部匹配方面的错误。
PLoS One. 2014 Aug 18;9(8):e103510. doi: 10.1371/journal.pone.0103510. eCollection 2014.
10
Evaluating training methods for facial image comparison: the face shape strategy does not work.评估面部图像比较的训练方法:面部形状策略不起作用。
Perception. 2014;43(2-3):214-8. doi: 10.1068/p7676.