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A MatLab project for the course of Multimedia Data Security held at the University of Trento.
The aim of this project is to implement a Matlab script that enables to discern between real faces and spoofing attempts using 3D printed masks in order to gain illegitimate access to systems.
- windows (for the landmark extraction)
- MATLAB
- python 2 (for the parameters estimation)
- gnuplot (needed by grid.py for parameters estimation)
- 3D Mask Attack Database
run_main.m is the runner script.
You can tune the parameters of the program:
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features_type: type of features to use possible values: 'rgb', 'depth','lbp-top'
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test_only : whether to make only the test step, useful if the features have already been extracted useful if the features have already been extracted we provide already extracted features in Code\3.Results\c.features
feature extraction can last up to ~2 hours for lbp-top -
c : the c parameters for the SVM
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gamma : the gamma parameters for the SVM