A 3D Face Recognition System Using Passive Stereo Vision and Its Performance Evaluation
A 3D Face Recognition System Using Passive Stereo Vision and Its Performance Evaluation
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DOI：
10.1109/ispacs.2006.364908
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发表时间：
2006-12
期刊：
影响因子：
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通讯作者：
Akihiro Hayasaka;Koichi Ito;T. Aoki;Hiroshi Nakajimat
中科院分区：
文献类型：
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作者：
Akihiro Hayasaka;Koichi Ito;T. Aoki;Hiroshi Nakajimat
提出了一种基于被动立体视觉的三维人脸识别系统。到目前为止，已报道的3D人脸识别系统假设使用主动3D测量来进行3D人脸捕获。然而，主动方法采用结构化照明或激光扫描，这在许多人类识别应用中是不期望的。针对这个问题，我们提出了一个三维人脸识别系统，它使用（i）AdaBoost的人脸检测自动提取人脸区域从图像中，（ii）被动立体视觉捕捉三维人脸信息，（iii）三维人脸匹配的基础上一个简单的ICP（迭代最近点）算法。实验结果表明，该系统具有良好的识别性能
This paper proposes a three-dimensional (3D) face recognition system using passive stereo vision. So far, the reported 3D face recognition systems assume the use of active 3D measurement for 3D facial capture. However, active methods employ structured illumination or laser scanning, which is not desirable in many human recognition applications. Addressing this problem, we propose a 3D face recognition system that uses (i) AdaBoost-based face detection to automatically extract a face region from an image, (ii) passive stereo vision to capture 3D facial information, and (iii) 3D face matching based on a simple ICP (iterative closest point) algorithm. Experimental evaluation demonstrates an efficient recognition performance of the proposed system