3D Anthropometric Signatures for Face Verification

Souhila Guerfi, J. Gambotto, S. Lelandais
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Abstract

In this paper we propose a new geometric method for 3D face recognition based on anthropometric measurements. 3D facial feature points are measured by stereovision and are used to construct a 3D signature containing distances, indices and angles between these points, in order to discriminate individuals. This approach is evaluated on the new IV2 database and results are presented an discussed.
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人脸验证的3D人体测量签名
本文提出了一种基于人体测量的三维人脸识别几何方法。三维面部特征点通过立体视觉测量,并用于构建包含这些点之间的距离、指数和角度的三维签名,以区分个体。该方法在新的IV2数据库上进行了评估,并给出了结果并进行了讨论。
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