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Who is this person? A comparison study of current three-dimensional facial approximation methods

机译:这个人是谁? 电流三维面近似方法的比较研究

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摘要

Facial approximation is a common tool utilised in forensic human identification. Three-dimensional (3D) imaging technologies allow researchers to go beyond traditional clay models to now create virtual computed models of anatomical structures. The goal of this study was to compare the accuracy of available methods of facial approximation ranging from clay modelling to advanced computer facial approximation techniques. Two computerised reconstructions (FacelT and FBI's ReFace) and two manual reconstructions (completed by FBI's Neville and Faraut) were completed using a skull from a known individual. A living individual's computed tomography (CT) scan was used to create a virtual 3D model of the skull and soft tissue of the face. The virtual skull models were provided to the computer-based approximation specialists. A rapid prototype of the skull was printed and provided to the practitioners who needed physical specimens. The results from all of the methods (clay and virtual) were compared visually to each other and collectively to the actual features of the living individual to compare the results of each. A quantitative study was also conducted to establish the accuracy of each method and the regions of the face that need the most improvement for all of the specialists. This project demonstrates the wide range of variation between commonly used facial identification methods. The benefit of this study was having a living individual to test the strengths and weaknesses of each method while also providing future areas of focus for soft tissue depth data studies.
机译:面部近似是在法医人体识别中使用的常见工具。三维(3D)成像技术允许研究人员超越传统的粘土模型,现在创建虚拟计算的解剖结构模型。本研究的目标是比较从粘土建模到高级计算机面部近似技术的面部近似的可用方法的准确性。使用来自已知个人的头骨完成了两种计算机化重建(面部和FBI的Reface)和两台手动重建(由FBI的内维尔和Faraut完成)。使用的个人计算机断层扫描(CT)扫描用于创建面部头骨和软组织的虚拟3D模型。将虚拟颅骨模型提供给基于计算机的近似专家。印刷头骨的快速原型并提供给需要物理标本的从业者。所有方法(粘土和虚拟)的结果都在视觉上彼此比较,统称为活生生物的实际特征,以比较各自的结果。还进行了定量研究以确定每个方法的准确性以及需要所有专家更加改善的面部的准确性。该项目展示了常用的面部识别方法之间的各种变化。本研究的好处是具有生物,以测试每种方法的优点和缺点,同时还提供未来的重点用于软组织深度数据研究。

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