public FacialInfo()
{
StreamReader SR = new StreamReader("CVConfig.txt");
gFacedetection = new HaarCascade(@"haarcascade_frontalface_alt.xml");
gHanddetection = new HaarCascade(@"haarcascade_hand.xml");
gCompareBoxes = new List<Image<Gray, byte>>();
gRecognitionBoxes = new List<Image<Gray, byte>>();
Image<Gray, byte> Blank = new Image<Gray, byte>(128, 120, new Gray(0.5));
for (int x = 0; x < 6; x++)
{
gCompareBoxes.Add(Blank);
gRecognitionBoxes.Add(Blank);
}
try
{
ImageWidth = int.Parse(SR.ReadLine().Split(':')[1]);
ImageHeight = int.Parse(SR.ReadLine().Split(':')[1]);
Threshold = int.Parse(SR.ReadLine().Split(':')[1]);
termcrit = double.Parse(SR.ReadLine().Split(':')[1]);
}
catch
{
//default values
ImageWidth = 128;
ImageHeight = 120;
termcrit = 0.001;
Threshold = 4500;
}
SR.Close();
gUP = new UserProfile();
MCvTermCriteria termCrit = new MCvTermCriteria(gUP.LoadedUsers.Count, termcrit);
gEOR = new EigenObjectRecognizer(
gUP.getImages(),
gUP.getNumbers(),
10000,//4500
ref termCrit);
}
