Welcome Sir/Madame and thanks to be here!
This is a complete face-authentication system.
I developed it during my degree-thesis (italian language) in Computer Engineering.
It is entrely written in C++.
The whole computative process mainly consists of the following functional modules:
It is entrely written in C++.
The whole computative process mainly consists of the following functional modules:
- face-tracking OpenCV classifier + template matching technique for angled head-posture detection and a continuos tracking without any visual freeze.
- eyes-tracking for face-cropping (missing a complete face landamaks detection system...) and geometric normalization (a planar face rotation to normalize user's head-posture)
- brightness-normalization For reducing environment light condition variability (the system works with just a RGB webcam)
- face-antispoofing Multiresolution/Multiscale LBP and SVM with radial filter classification. The system is able to work without any kind of liveness-detection, so it doesn't need user cooperation and it's absolutely transparent for user.
- features-extraction The features-extraction module is based on the Local Quantized Pattern methodology (LQP), with vector quantization (clustering) performed with k-means algorithm (scratch programmed).
The system is provided of a GUI for helping user during the enollment and the classification phases of the authentication process.
Windows/Linux OS compatibility. Third party library involved: OpenCV 2.4.9, Qt 5.1.
System divided in a Trainer application and a Recognizer application.
More info at: vcolamatteo/computervision.
For any info request email me at: [email protected]
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