function test_features_stat

n_features=15;
n_users=47;
n_frames=50;
frame_offset=200;

training_database_path='C:\MATLAB6p5\work\training_database';
% user_name=['cda';'fcp';'ffc';'jos';'nrd';'plt';'shs';'ygs';'ynp'];

cd(training_database_path);
user_folders=dir;

user_folders(1)=[];
user_folders(1)=[];

load stat_features_feat15_users47_frames200_frameoffset0.mat

for i=1:n_users
    for j=1:n_users
        
        user_face_vectors=stat_loading_sample_vectors(training_database_path,n_frames,1,user_folders(j).name,frame_offset);
        stat_features(:,:,j,i)=stat_features_extractor(stat_eigenfaces(:,:,i),user_face_vectors);
        j
    end;
    i
end;

feature_file_name = sprintf('test_features_feat%d_users%d_framesperuser%d_frameoffset%d',n_features,n_users,n_frames,frame_offset);

save(['C:\MATLAB6p5\work\training_data' '\' feature_file_name],'stat_features');

cd 'C:\MATLAB6p5\work\';