Recent Advances in Facial Image Identification

M. Yoshino
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引用次数: 5

Abstract

This paper reviewed recent advances in facial image identification from the forensic aspects. Although literatures reviewed included mathematics and computer engineering fields, anthropological techniques were mainly described. Facial image identification is generally attempted using three methods: morphological comparison of facial features, facial image anthropometry and face-to-face superimposition. The most commonly employed method in actual caseworks is morphological comparison based on surface anatomy, followed by anthropometrical analysis and then face-to-face superimposition. The current technique using a 2D/3D facial image superimposition was introduced and its advantage and disadvantage were described. The evaluation of reliability in facial image identification including expert opinions was discussed, along with some problems of facial images submitted as evidential samples.
面部图像识别的最新进展
本文从法医学的角度综述了近年来人脸图像识别的研究进展。虽然文献综述包括数学和计算机工程领域,但主要描述了人类学技术。人脸图像识别一般采用三种方法:面部特征形态学比较、人脸图像人体测量和人脸叠加。在实际案例中最常用的方法是基于表面解剖的形态比较,然后是人体测量分析,然后是面对面的叠加。介绍了目前使用的二维/三维人脸图像叠加技术,并分析了其优缺点。讨论了包括专家意见在内的人脸图像识别的可靠性评估,以及人脸图像作为证据样本提交时存在的一些问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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