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深度学习论文:基于暹罗网络的客户身份人脸检测(Face Liveness Detection Based on Client Identity Using Si

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cbz123 发表于 2019-3-15 13:19:45 | 显示全部楼层 |阅读模式
cbz123 2019-3-15 13:19:45 185 0 显示全部楼层
深度学习论文:基于暹罗网络的客户身份人脸检测(Face Liveness Detection Based on Client Identity Using Siamese Network)面部活力检测是面部识别应用的必要先决条件。以前的面部活体检测方法通常训练二元分类器以在面部识别之前区分假面部和真实面部。在先前的面部检测方法中不使用客户身份信息。然而,在实际的面部识别应用中,面部欺骗攻击总是针对特定客户端,并且客户端身份信息可以为面部活动检测提供有用的线索。在本文中,我们提出了一种基于使用Siamese网络的客户身份的面部活性检测方法。我们在面部识别之后而不是在面部识别之前检测面部活跃度,即,我们使用客户端身份信息检测面部活动。我们训练一个带有图像对的暹罗网络。每个图像对由两个真实面部图像或一个真实和假面部图像组成。每对中的面部图像来自同一客户端。给予测试面部图像,首先通过面部识别系统识别面部图像,然后检索所识别的客户端的真实面部图像以帮助面部活体检测。实验结果证明了我们的方法的有效性。
Face liveness detection is an essential prerequisite for face recognitionapplications.Previous face liveness detection methods usually train a binaryclassifier to differentiate between a fake face and a real face before facerecognition.The client identity information is not utilized in previous faceliveness detection methods.However, in practical face recognitionapplications, face spoofing attacks are always aimed at a specific client, andthe client identity information can provide useful clues for face livenessdetection.In this paper, we propose a face liveness detection method based onthe client identity using Siamese network.We detect face liveness after facerecognition instead of before face recognition, that is, we detect faceliveness with the client identity information.We train a Siamese network withimage pairs.Each image pair consists of two real face images or one real andone fake face images.The face images in each pair come from a same client.Given a test face image, the face image is firstly recognized by facerecognition system, then the real face image of the identified client isretrieved to help the face liveness detection.Experiment results demonstratethe effectiveness of our method.深度学习论文:基于暹罗网络的客户身份人脸检测(Face Liveness Detection Based on Client Identity Using Siamese Network) UoDMH22tHZG90Zoz.jpg
URL地址:https://arxiv.org/abs/1903.05369     ----pdf下载地址:https://arxiv.org/pdf/1903.05369    ----深度学习论文:基于暹罗网络的客户身份人脸检测(Face Liveness Detection Based on Client Identity Using Siamese Network)
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