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VoxAtnNet: A 3D Point Clouds Convolutional Neural Network for Generalizable Face Presentation Attack Detection
In this work, we propose a novel Presentation Attack Detection (PAD) algorithm based on 3D point clouds captured using the frontal camera of a smartphone to detect presentation attacks.
Does complimentary information from multispectral imaging improve face presentation attack detection?
We present PAD based on multispectral images constructed for eight different presentation artifacts resulted from three different artifact species.
Multispectral Imaging for Differential Face Morphing Attack Detection: A Preliminary Study
The D-MAD methods are based on using two facial images that are captured from the ePassport (also called the reference image) and the trusted device (for example, Automatic Border Control (ABC) gates) to detect whether the face image presented in ePassport is morphed.
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