The motivation of this project is to implement several techniques for face recognition: Principal Component Analysis Fisher’s Linear Discriminant Analysis Support Vector Machines (SVM) The code was written in Matlab, and it requires the user to install LIBSVM. Three face s are included to test the effectiveness of the algorithm in cases where the faces have variation in pose and illumination.

FaceRecognition-master
......................\README.md
......................\data
......................\....\illumination.mat
......................\....\pose.mat
......................\....\simple.mat
......................\resources
......................\.........\figure1.png
......................\.........\figure2.png
......................\.........\figure3.png
......................\.........\figure4.png
......................\.........\figure5.png
......................\.........\figure6.png
......................\.........\figure7.png
......................\.........\formula1.png
......................\.........\formula2.png
......................\.........\formula3.png
......................\.........\formula4.png
......................\.........\formula5.png
......................\src
......................\...\main.m

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