3DMAD (3D Mask Attack Dataset)
The 3D Mask Attack Database (3DMAD) is a biometric (face) spoofing database. It currently contains 76500 frames of 17 persons, recorded using Kinect for both real-access and spoofing attacks. Each frame consists of:
- a depth image (640x480 pixels – 1x11 bits)
- the corresponding RGB image (640x480 pixels – 3x8 bits)
- manually annotated eye positions (with respect to the RGB image).
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
