Continuous 3D Face Authentication using RGB-D Cameras

被引:22
|
作者
Segundo, Mauricio Pamplona [1 ,2 ]
Sarkar, Sudeep [1 ]
Goldgof, Dmitry [1 ]
Silva, Luciano [2 ]
Bellon, Olga [2 ]
机构
[1] Univ S Florida, Tampa, FL 33620 USA
[2] Univ Fed Prana, IMAGO Res Grp, Parana, Brazil
关键词
RECOGNITION; VERIFICATION;
D O I
10.1109/CVPRW.2013.17
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a continuous 3D face authentication system that uses a RGB-D camera to monitor the accessing user and ensure that only the allowed user uses a protected system. At the best of our knowledge, this is the first system that uses 3D face images to accomplish such objective. By using depth images, we reduce the amount of user cooperation that is required by the previous continuous authentication works in the literature. We evaluated our system on four 40 minutes long videos with variations in facial expressions, occlusions and pose, and an equal error rate of 0.8% was achieved.
引用
收藏
页码:64 / 69
页数:6
相关论文
共 50 条
  • [1] 3D Reconstruction with Mirrors and RGB-D Cameras
    Akay, Abdullah
    Akgul, Yusuf Sinan
    [J]. PROCEEDINGS OF THE 2014 9TH INTERNATIONAL CONFERENCE ON COMPUTER VISION, THEORY AND APPLICATIONS (VISAPP 2014), VOL 3, 2014, : 325 - 334
  • [2] 3D Registration in Dark Environments Using RGB-D Cameras
    Yousif, Khalid
    Bab-Hadiashar, Alireza
    Hoseinnezhad, Reza
    [J]. 2013 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES & APPLICATIONS (DICTA), 2013, : 51 - 58
  • [3] Robust and High-Fidelity 3D Face Reconstruction Using Multiple RGB-D Cameras
    Peng, Haocheng
    Yang, Li
    Li, Jinhui
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (22):
  • [4] State of the Art on 3D Reconstruction with RGB-D Cameras
    Zollhoefer, Michael
    Stotko, Patrick
    Goerlitz, Andreas
    Theobalt, Christian
    Niessner, Matthias
    Klein, Reinhard
    Kolb, Andreas
    [J]. COMPUTER GRAPHICS FORUM, 2018, 37 (02) : 625 - 652
  • [5] GEOMETRICAL 3D RECONSTRUCTION USING REAL-TIME RGB-D CAMERAS
    Penelle, B.
    Schenkel, A.
    Warzee, N.
    [J]. INTERNATIONAL CONFERENCE ON 3D IMAGING 2011 (IC3D 2011), 2011,
  • [6] 3D Reconstruction and Texture Optimization Using a Sparse Set of RGB-D Cameras
    Li, Wei
    Xiao, Xiao
    Hahn, James K.
    [J]. 2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019, : 1413 - 1422
  • [7] A Framework for 3D Scanning using RGB-D Cameras and an Automated Rotary Table
    Erich, Floris
    Ando, Noriaki
    [J]. 2022 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII 2022), 2022, : 614 - 619
  • [8] A Survey of Indoor 3D Reconstruction Based on RGB-D Cameras
    Zhu, Jinlong
    Gao, Changbo
    Sun, Qiucheng
    Wang, Mingze
    Deng, Zhengkai
    [J]. IEEE ACCESS, 2024, 12 : 112742 - 112766
  • [9] 3D Visual SLAM for an Assistive Robot in Indoor Environments Using RGB-D Cameras
    Meng, Lili
    de Silva, Clarence W.
    Zhang, Jie
    [J]. 2014 PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION (ICCSE 2014), 2014, : 32 - 37
  • [10] FusionMLS:Highly dynamic 3D reconstruction with consumergrade RGB-D cameras
    Siim Meerits
    Diego Thomas
    Vincent Nozick
    Hideo Saito
    [J]. Computational Visual Media, 2018, 4 (04) : 287 - 303