Use of non-clinical smile images for human identification: a systematic review.

Q3 Medicine Journal of Forensic Odonto-Stomatology Pub Date : 2022-04-30
R P A V Franco, A Franco, R F da Silva, P H V Pinto, R H Alves da Silva
{"title":"Use of non-clinical smile images for human identification: a systematic review.","authors":"R P A V Franco,&nbsp;A Franco,&nbsp;R F da Silva,&nbsp;P H V Pinto,&nbsp;R H Alves da Silva","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Human identification using Forensic Dentistry occurs through comparative analysis of ante-mortem (AM) and post-mortem (PM) data. With the constant improvement of technology, photographs became a common source of AM data. When clinical dental records are not available, images showing the smile can be useful in human identification. The aim of this study was to investigate human identification techniques through the analysis of smile images in the available literature. Studies on human identification through the analysis of smile images were searched in the scientific literature. The search resulted in 4,043 studies. After screening, 14 studies were considered eligible. Eleven were case reports, two were pilot studies and one a technical note. From the eligible studies, in addition to the methodological data, information about the sample, used techniques and results regarding human identification were extracted. Three techniques were detected: direct comparison of morphological characteristics, AM/PM image overlap, and the analysis of smile lines. One or more associated techniques were used for human identification. Authors highlighted as a common limitation of the techniques the quality of the available images, the difficulty in reproducing PM the same images AM, and the eventual image modifications performed by the victim before posting in social media. Advantages included the low-cost aspect of the technique, as well as a potential fast and accurate procedure (depending on the quantity and quality of evidence). In general, studies considered the technique useful and adjuvant for human identification.</p>","PeriodicalId":35728,"journal":{"name":"Journal of Forensic Odonto-Stomatology","volume":"40 1","pages":"65-73"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228185/pdf/JFOS-40-1-65.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Forensic Odonto-Stomatology","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Human identification using Forensic Dentistry occurs through comparative analysis of ante-mortem (AM) and post-mortem (PM) data. With the constant improvement of technology, photographs became a common source of AM data. When clinical dental records are not available, images showing the smile can be useful in human identification. The aim of this study was to investigate human identification techniques through the analysis of smile images in the available literature. Studies on human identification through the analysis of smile images were searched in the scientific literature. The search resulted in 4,043 studies. After screening, 14 studies were considered eligible. Eleven were case reports, two were pilot studies and one a technical note. From the eligible studies, in addition to the methodological data, information about the sample, used techniques and results regarding human identification were extracted. Three techniques were detected: direct comparison of morphological characteristics, AM/PM image overlap, and the analysis of smile lines. One or more associated techniques were used for human identification. Authors highlighted as a common limitation of the techniques the quality of the available images, the difficulty in reproducing PM the same images AM, and the eventual image modifications performed by the victim before posting in social media. Advantages included the low-cost aspect of the technique, as well as a potential fast and accurate procedure (depending on the quantity and quality of evidence). In general, studies considered the technique useful and adjuvant for human identification.

分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
非临床微笑图像用于人类识别:系统回顾。
使用法医牙科的人类身份识别是通过对死前(AM)和死后(PM)数据的比较分析进行的。随着技术的不断进步,照片成为AM数据的常见来源。当没有临床牙科记录时,显示微笑的图像可以用于人类识别。本研究的目的是通过分析现有文献中的微笑图像来研究人类识别技术。通过分析微笑图像来识别人类的研究在科学文献中得到了广泛的搜索。搜索结果是4043项研究。筛选后,14项研究被认为符合条件。11份是个案报告,2份是试点研究报告,1份是技术说明。从符合条件的研究中,除了方法学数据外,还提取了有关样本、所用技术和人类鉴定结果的信息。检测了三种技术:形态学特征的直接比较、AM/PM图像重叠和微笑线分析。一种或多种相关技术被用于人类识别。作者强调了这些技术的一个共同局限性,即可用图像的质量,PM复制相同图像AM的困难,以及受害者在社交媒体上发布之前最终进行的图像修改。该技术的优势包括低成本方面,以及潜在的快速和准确的程序(取决于证据的数量和质量)。总的来说,研究认为这项技术对人类鉴定是有用的和辅助的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Forensic Odonto-Stomatology
Journal of Forensic Odonto-Stomatology Medicine-Pathology and Forensic Medicine
CiteScore
1.20
自引率
0.00%
发文量
14
期刊介绍: The Journal of Forensic Odonto-Stomatology is the official publication of the: INTERNATIONAL ORGANISATION FOR FORENSIC ODONTO-STOMATOLOGY (I.O.F.O.S
期刊最新文献
A scoping review of websites for forensic odontology training programs. Analysis and comparison of tooth wear in late antiquity and early middle age in populations that lived in continental and coastal Croatia using digitized VistaMetrix method. Bitemark analysis comparing the use of digital scans and 3D resin casts. Correlation of spheno-occipital synchondrosis and mandibular condylar cortication with chronological age using computed tomography in Indian population- A cross-sectional study. Establishing legal threshold of 18-years based on the assessment of mandibular molars using three different methods - An observational study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1