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当年龄增长图像不可靠时:外部特征和年龄范围的作用。

When age-progressed images are unreliable: The roles of external features and age range.

作者信息

Erickson William Blake, Lampinen James Michael, Frowd Charlie D, Mahoney Gregory

机构信息

University of Arkansas, United States.

University of Arkansas, United States.

出版信息

Sci Justice. 2017 Mar;57(2):136-143. doi: 10.1016/j.scijus.2016.11.006. Epub 2016 Dec 1.

DOI:10.1016/j.scijus.2016.11.006
PMID:28284439
Abstract

When children go missing for many years, investigators commission age-progressed images from forensic artists to depict an updated appearance. These images have anecdotal success, and systematic research has found they lead to accurate recognition rates comparable to outdated photos. The present study examines the reliability of age progressions of the same individuals created by different artists. Eight artists first generated age progressions of eight targets across three age ranges. Eighty-five participants then evaluated the similarity of these images against other images depicting the same targets progressed at the same age ranges, viewing either whole faces or faces with external features concealed. Similarities were highest over shorter age ranges and when external features were concealed. Implications drawn from theory and application are discussed.

摘要

当儿童失踪多年时,调查人员会委托法医艺术家制作年龄增长后的图像,以描绘其最新外貌。这些图像取得了一些传闻中的成功,系统研究发现它们的准确识别率与过时照片相当。本研究考察了不同艺术家对同一人物进行年龄增长描绘的可靠性。八位艺术家首先对三个年龄范围的八个目标人物进行了年龄增长描绘。然后,八十五名参与者将这些图像与描绘相同目标人物在相同年龄范围增长后的其他图像进行相似性评估,他们观看的要么是完整面部,要么是外部特征被遮盖的面部。在较短年龄范围内以及外部特征被遮盖时,相似性最高。文中还讨论了从理论和应用中得出的启示。

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Simulation of facial growth based on longitudinal data: Age progression and age regression between 7 and 17 years of age using 3D surface data.基于纵向数据的面部生长模拟:使用 3D 表面数据进行 7 至 17 岁年龄进展和年龄回溯。
PLoS One. 2019 Feb 22;14(2):e0212618. doi: 10.1371/journal.pone.0212618. eCollection 2019.