3D Mask Attack Dataset

by No License

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).The data is collected in 3 different sessions for all subjects and for each session 5 videos of 300 frames are captured. The recordings are done under controlled conditions, with frontal-view and neutral expression. The first two sessions are dedicated to the real access samples, in which subjects are recorded with a time delay of ~2 weeks between the acquisitions. In the third session, 3D mask attacks are captured by a single operator (attacker).

Dataset Attributes

Label SVG
Categories3D, Biometry, Face, Frontview, Emotion