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3D成像技术在潜在指纹老化研究中的应用。

Application of 3D Imaging Technology to Latent Fingermark Aging Studies.

作者信息

De Alcaraz-Fossoul Josep, Mancenido Michelle, Soignard Emmanuel, Silverman Nathaniel

机构信息

Henry C. Lee College of Criminal Justice and Forensic Sciences, University of New Haven, 300 Boston Post Road, West Haven, CT, 06516.

New College of Interdisciplinary Arts and Sciences, School of Mathematical and Natural Sciences, Arizona State University, 4701 West Thunderbird Road, Glendale, AZ, 85306-4908.

出版信息

J Forensic Sci. 2019 Mar;64(2):570-576. doi: 10.1111/1556-4029.13891. Epub 2018 Aug 21.

DOI:10.1111/1556-4029.13891
PMID:30132889
Abstract

In most latent fingermark aging studies, two-dimensional (2D) features are obtained from photo images, scans, or inked impressions. However, some relevant information is possibly being missed because fingermarks are three-dimensional (3D) objects that age in all three dimensions. A feature that has not been carefully examined is how the height of ridges changes over time. In this report, a 3D imaging technology-called optical profilometry-is introduced as a tool for the visual examination of the aging process. Optical profilometry is a nondestructive technology that allows the visualization and data acquisition of unprocessed latent fingermarks. Detailed ridge images and spatiotemporal data were successively obtained on the x-, y- and z-axis, delivering 3D topographical information. OP was able to detect the loss of ridge heights over time. The feasibility of employing this technology to collect data on the aging process of ridges has been proven.

摘要

在大多数潜在指纹老化研究中,二维(2D)特征是从照片图像、扫描件或油墨捺印中获取的。然而,由于指纹是三维(3D)物体,会在所有三个维度上老化,所以可能会遗漏一些相关信息。一个尚未得到仔细研究的特征是嵴纹高度如何随时间变化。在本报告中,一种名为光学轮廓测量法的3D成像技术被作为一种用于直观检查老化过程的工具引入。光学轮廓测量法是一种无损技术,可实现未处理潜在指纹的可视化和数据采集。在x、y和z轴上相继获取了详细的嵴纹图像和时空数据,提供了三维地形信息。光学轮廓测量法能够检测出嵴纹高度随时间的损失。已证明采用该技术收集嵴纹老化过程数据的可行性。

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引用本文的文献

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Interpol review of fingermarks and other body impressions 2016-2019.国际刑警组织2016 - 2019年指纹及其他身体印记审查
Forensic Sci Int Synerg. 2020 Mar 17;2:442-480. doi: 10.1016/j.fsisyn.2020.01.013. eCollection 2020.