A Binocular Framework for Face Liveness Verification under Unconstrained Localization

Qi Li, Zhonghang Xia, Guangming Xing
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引用次数: 3

Abstract

In this paper, we propose a binocular framework for face liveness verification under unconstrained localization. The proposed framework contains two components: the first component localizes imbalanced points in face regions of an input pair of stereo images and the second component detects whether an imaging face is a 2D object or a 3D object. We test the propose framework on a publicly available stereo face database, which demonstrated its potential.
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无约束定位下的双目人脸活动性验证框架
本文提出了一种无约束定位下的双目人脸活体验证框架。该框架包含两个组件:第一个组件定位输入对立体图像的人脸区域中的不平衡点,第二个组件检测成像的人脸是2D对象还是3D对象。我们在一个公开的立体人脸数据库上测试了该框架,证明了它的潜力。
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