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http://dx.doi.org/10.13089/JKIISC.2014.24.4.607

2D - 3D Human Face Verification System based on Multiple RGB-D Camera using Head Pose Estimation  

Kim, Jung-Min (Inha University)
Li, Shengzhe (Inha University)
Kim, Hak-Il (Inha University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.24, no.4, 2014 , pp. 607-616 More about this Journal
Abstract
Face recognition is a big challenge in surveillance system since different rotation angles of the face make the difficulty to recognize the face of the same person. This paper proposes a novel method to recognize face with different head poses by using 3D information of the face. Firstly, head pose estimation (estimation of different head pose angles) is accomplished by the POSIT algorithm. Then, 3D face image data is constructed by using head pose estimation. After that, 2D image and the constructed 3D face matching is performed. Face verification is accomplished by using commercial face recognition SDK. Performance evaluation of the proposed method indicates that the error range of head pose estimation is below 10 degree and the matching rate is about 95%.
Keywords
Mulitple-RGBD Camera; 3D Face Data; Head pose Estimation; Face Verification;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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