An Efficient 3D Face Recognition Method Using Geometric Features

Yong-An Li, Yong-jun Shen, Gui-Dong Zhang, Taohong Yuan, Xiu-Ji Xiao, Hua-Long Xu
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引用次数: 20

Abstract

In this work, we present a 3D face recognition method which utilizes 3D facial geometric features. Compared with some other relative methods our method does not need to accurately locate facial points, only nose tip should be detected. Geometric distance among the points around nose tip is calculated to represent the facial geometry. Our recognition process takes two steps. In the first step, a number of candidates are selected from the gallery according to the geometric features we extracted. In the second step, ICP algorithm is performed to match the probe with the candidates to make the final decision. We use CASIA 3D face database to evaluate our system. Experiment results demonstrate that our method is competitive with other 3D face recognition methods.
一种基于几何特征的三维人脸识别方法
在这项工作中,我们提出了一种利用三维人脸几何特征的三维人脸识别方法。与其他相关方法相比,本方法不需要精确定位面部点,只需检测鼻尖即可。计算鼻尖周围点之间的几何距离来表示面部几何形状。我们的识别过程分为两个步骤。在第一步中,根据我们提取的几何特征从图库中选择一些候选图像。第二步,使用ICP算法将探测器与候选探测器进行匹配,从而做出最终决策。我们使用CASIA 3D人脸数据库对我们的系统进行评估。实验结果表明,该方法与其他三维人脸识别方法相比具有一定的竞争力。
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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