A 2D+3D face identification system for surveillance applications

F. Tsalakanidou, S. Malassiotis, M. Strintzis
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引用次数: 3

Abstract

A novel surveillance system integrating 2D and 3D facial data is presented in this paper, based on a low-cost sensor capable of real-time acquisition of 3D images and associated color images of a scene. Depth data is used for robust face detection, localization and 3D pose estimation, as well as for compensating pose and illumination variations of facial images prior to classification . The proposed system was tested under an open-set identification scenario for surveillance of humans passing through a relatively constrained area. Experimental results demonstrate the accuracy and robustness of the system under a variety of conditions usually encountered in surveillance applications.
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用于监控应用的2D+3D人脸识别系统
本文提出了一种基于低成本传感器的二维和三维人脸数据集成监控系统,该系统能够实时采集场景的三维图像和相关彩色图像。深度数据用于鲁棒人脸检测、定位和3D姿态估计,以及在分类之前补偿面部图像的姿态和光照变化。所提出的系统在一个开放集识别场景下进行了测试,用于监视通过相对受限区域的人类。实验结果证明了该系统在各种监控应用条件下的准确性和鲁棒性。
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