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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Erdogmus, N. Marcel, S. |
| Copyright Year | 2013 |
| Description | Author affiliation: Idiap Res. Inst., Martigny, Switzerland (Erdogmus, N.; Marcel, S.) |
| Abstract | The problem of detecting face spoofing attacks (presentation attacks) has recently gained a well-deserved popularity. Mainly focusing on 2D attacks forged by displaying printed photos or replaying recorded videos on mobile devices, a significant portion of these studies ground their arguments on the flatness of the spoofing material in front of the sensor. In this paper, we inspect the spoofing potential of subject-specific 3D facial masks for 2D face recognition. Additionally, we analyze Local Binary Patterns based coun-termeasures using both color and depth data, obtained by Kinect. For this purpose, we introduce the 3D Mask Attack Database (3DMAD), the first publicly available 3D spoofing database, recorded with a low-cost depth camera. Extensive experiments on 3DMAD show that easily attainable facial masks can pose a serious threat to 2D face recognition systems and LBP is a powerful weapon to eliminate it. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 968257 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479905270 |
| DOI | 10.1109/BTAS.2013.6712688 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-29 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Three-dimensional displays Databases Image color analysis Face recognition Feature extraction Face Videos |
| Content Type | Text |
| Resource Type | Article |
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