被动立体视觉三维人脸识别系统及其性能评价

Akihiro Hayasaka, Koichi Ito, T. Aoki, H. Nakajimat
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引用次数: 8

摘要

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,报道的3D面部识别系统假设使用主动3D测量来进行3D面部捕捉。然而,主动方法采用结构化照明或激光扫描,这在许多人体识别应用中是不可取的。针对这一问题,我们提出了一种3D人脸识别系统,该系统使用(i)基于adaboost的人脸检测从图像中自动提取人脸区域,(ii)被动立体视觉捕捉3D人脸信息,以及(iii)基于简单ICP(迭代最近点)算法的3D人脸匹配。实验结果表明,该系统具有良好的识别性能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 3D Face Recognition System Using Passive Stereo Vision and Its Performance Evaluation
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
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