private void MainForm_Load(object sender, EventArgs e)
{
mainBmp = new Bitmap(Image.FromFile("./plane.bmp"));
pb_main.Image = mainBmp;
double[,] img = ImageTool.GetGreyScale(mainBmp);
ImageTool.SetImage(mainBmp, img);
int libCount = LoadLibrary("./imgLib", mainBmp.Width, mainBmp.Height, FACES_PER_PERSON);
avg = ImageTool.GetAvg(lib);
difLib = ImageTool.GetDifferenceArray(lib, avg);
sb_lib.Maximum = libCount;
libBmp = new Bitmap(mainBmp.Width, mainBmp.Height);
EigenObject eigVects = ImageTool.GetEigen(ImageTool.GetA(lib));
ImageTool.normalize(eigVects.vectors);
eigFaces = ImageTool.getEigenFaces(eigVects.vectors, difLib);
libWeights = new double[lib.Length][];
for (int i = 0; i < lib.Length; i++)
{
libWeights[i] = ImageTool.getWeights(eigFaces, lib[i], avg);
}
double[] weights = ImageTool.getWeights(eigFaces, img, avg);
comp = ImageTool.compareWeigths(libWeights, weights);
int p = ImageTool.smallestVal(comp);
lb_person.Text = "Person: " + p;
recon = ImageTool.reconstruct(weights, eigFaces, avg);
ImageTool.normalize(recon, 255);
pb_lib.Image = libBmp;
ImageTool.SetImage(libBmp, lib[p]);
sb_lib.Value = p;
}
public static double[,] reconstruct(double[] weights, double[][,] eigFaces, double[,] avg)
{
int length = eigFaces[0].GetLength(0);
double[,] result = new double[length, length];
//normalize(weights);
for (int i = 0; i < length; i++)
{
for (int j = 0; j < length; j++)
{
for (int k = 0; k < eigFaces.Length; k++)
{
result[i, j] += eigFaces[k][i, j] * weights[k] / eigFaces.Length;
}
}
}
ImageTool.normalize(result, 128);
for (int i = 0; i < length; i++)
{
for (int j = 0; j < length; j++)
{
result[i, j] += avg[i, j];
}
}
return(result);
}
public FaceRecog()
{
mainBmp = new Bitmap(Image.FromFile("./plane.bmp"));
//Would be picturebox of compared image.
//pb_main.Image = mainBmp;
double[,] img = ImageTool.GetGreyScale(mainBmp);
ImageTool.SetImage(mainBmp, img);
int libCount = LoadLibrary("./imgLib", mainBmp.Width, mainBmp.Height, FACES_PER_PERSON);
avg = ImageTool.GetAvg(lib);
difLib = ImageTool.GetDifferenceArray(lib, avg);
//Would be scrollbar
//sb_lib.Maximum = libCount;
libBmp = new Bitmap(mainBmp.Width, mainBmp.Height);
EigenObject eigVects = ImageTool.GetEigen(ImageTool.GetA(lib));
ImageTool.normalize(eigVects.vectors);
eigFaces = ImageTool.getEigenFaces(eigVects.vectors, difLib);
libWeights = new double[lib.Length][];
for (int i = 0; i < lib.Length; i++)
{
libWeights[i] = ImageTool.getWeights(eigFaces, lib[i], avg);
}
double[] weights = ImageTool.getWeights(eigFaces, img, avg);
comp = ImageTool.compareWeigths(libWeights, weights);
int p = ImageTool.smallestVal(comp);
//Would be guess of face
//lb_person.Text = "Person: " + p;
recon = ImageTool.reconstruct(weights, eigFaces, avg);
ImageTool.normalize(recon, 255);
//would be displaying the image.
//pb_lib.Image = libBmp;
ImageTool.SetImage(libBmp, lib[p]);
//Would be setting scrollbar to correct position
//sb_lib.Value = p;
}
private void sb_lib_Scroll(object sender, ScrollEventArgs e)
{
switch (display)
{
case DIFFERENCE:
ImageTool.SetImage(libBmp, difLib[e.NewValue], true);
break;
case EIGEN:
ImageTool.SetImage(libBmp, eigFaces[e.NewValue], true);
break;
case REGULAR:
default:
ImageTool.SetImage(libBmp, lib[e.NewValue]);
break;
}
pb_lib.Image = libBmp;
lb_distance.Text = "Distance : " + comp[e.NewValue];
}
private int LoadLibrary(string directory, int width, int height, int subSet)
{
string[] images = Directory.GetFiles(@directory, "*.jpg");
if (subSet < 1)
{
subSet = 1;
}
lib = new double[images.Length][, ];
int i = 0;
foreach (string image in images)
{
lib[i++] = ImageTool.GetArray(new Bitmap(image));
}
if (subSet > 1)
{
lib = ImageTool.avgSubsets(lib, subSet);
}
return(images.Length / subSet);
}
private void bt_load_Click(object sender, EventArgs e)
{
OpenFileDialog ofd = new OpenFileDialog();
ofd.Filter = "Jpeg Files (.jpg)|*.jpg|Bitmap Files (.bmp)|*.bmp|All Files (*.*)|*.*";
ofd.FilterIndex = 1;
ofd.Multiselect = false;
if (ofd.ShowDialog() == DialogResult.OK)
{
mainBmp = new Bitmap(Image.FromFile(ofd.FileName));
pb_main.Image = mainBmp;
double[,] img = ImageTool.GetGreyScale(mainBmp);
ImageTool.SetImage(mainBmp, img);
double[] weights = ImageTool.getWeights(eigFaces, img, avg);
comp = ImageTool.compareWeigths(libWeights, weights);
int p = ImageTool.smallestVal(comp);
if (comp[p] > SAME_FACE_THRESH)
{
lb_person.Text = "Person: Unknown";
}
else
{
lb_person.Text = "Person: " + p;
}
recon = ImageTool.reconstruct(weights, eigFaces, avg);
pb_lib.Image = libBmp;
ImageTool.SetImage(libBmp, lib[p]);
sb_lib.Value = p;
lb_distance.Text = "Distance : " + comp[p];
faceSpace = ImageTool.difference(img, recon);
lb_faceSpace.Text = "Face Space : " + faceSpace;
if (faceSpace > FACE_THRESH)
{
lb_faceSpace.Text += "\nNot a face";
}
}
}
public string loadFace(Bitmap mainBmp)
{
String output;
//display image
//pb_main.Image = mainBmp;
double[,] img = ImageTool.GetGreyScale(mainBmp);
ImageTool.SetImage(mainBmp, img);
double[] weights = ImageTool.getWeights(eigFaces, img, avg);
comp = ImageTool.compareWeigths(libWeights, weights);
int p = ImageTool.smallestVal(comp);
Debug.WriteLine(comp[p] + "-----------");
if (comp[p] > SAME_FACE_THRESH)
{
//lb_person.Text = "Person: Unknown";
output = "Person: Unknown";
}
else
{
//lb_person.Text = "Person: " + p;
output = "Person: " + p;
ImageTool.SetImage(currentFace, lib[p]);
}
recon = ImageTool.reconstruct(weights, eigFaces, avg);
//pb_lib.Image = libBmp;
ImageTool.SetImage(libBmp, lib[p]);
//ImageTool.SetImage(currentFace, lib[p]);
//sb_lib.Value = p;
//lb_distance.Text = "Distance : " + comp[p];
faceSpace = ImageTool.difference(img, recon);
//lb_faceSpace.Text = "Face Space : " + faceSpace;
if (faceSpace > FACE_THRESH)
{
//lb_faceSpace.Text += "\nNot a face";
output = "Not a face";
}
if (faceSpace < 11500)
{
Debug.WriteLine("--------------------" + candidateAmount);
// candidateFace = ImageFunctions.combineImages((Bitmap)candidateFace.Clone(), mainBmp, candidateAmount);
for (int i = 0; i < candidates.Length; i++)
{
if (candidates[i] == null)
{
candidates[i] = mainBmp;
candidateScores[i] = faceSpace;
candidateFace = mainBmp;
}
else
{
if (faceSpace < candidateScores[i])
{
candidates[i] = mainBmp;
candidateScores[i] = faceSpace;
candidateFace = mainBmp;
break;
}
}
}
//if (candidateAmount < 10)
candidateAmount++;
//candidateFace.Save("./imgLib/face"+imageCount+".jpg", ImageFormat.Jpeg);
//imageCount++;
}
return(output);
}
private void bt_recon_Click(object sender, EventArgs e)
{
ImageTool.SetImage(libBmp, recon, false);
pb_lib.Image = libBmp;
}
private void bt_avg_Click(object sender, EventArgs e)
{
ImageTool.SetImage(libBmp, avg);
pb_lib.Image = libBmp;
}
