public static int RecognizeFace(Image <Gray, byte> image)
{
image = ImageHandler.ResizeGrayImage(image);
EigenFaceRecognizer eigen = OldEigen();
EigenFaceRecognizer.PredictionResult result = eigen.Predict(image);
/*
* if(result.Distance > threshold)
* {
* return result.Label;
* } else
* {
* return 0;
* }
*/
return(result.Label);
}
private void videoStream(object sender, EventArgs e)
{
using (var imageFrame = capture.QueryFrame().ToImage <Bgr, Byte>())
{
if (imageFrame != null)
{
var greyFrame = imageFrame.Convert <Gray, byte>();
var frontalFaces = cascadeClassifier.DetectMultiScale(greyFrame, 1.1, 10, Size.Empty);
foreach (var face in frontalFaces)
{
imageFrame.Draw(face, new Bgr(Color.Green), 2);
MCvTermCriteria mcvCrit = new MCvTermCriteria(30, 0.001);
EigenFaceRecognizer recognizer = new EigenFaceRecognizer(200, double.PositiveInfinity);
Image <Gray, byte>[] copyTrainingImages = new Image <Gray, byte> [nbRecordedFaces];
int[] copyLabels = new int[nbRecordedFaces];
for (int i = 0; i < nbRecordedFaces; i++)
{
copyTrainingImages[i] = trainingImages[i];
copyLabels[i] = labels[i];
}
if (nbRecordedFaces > 0)
{
recognizer.Train(copyTrainingImages, copyLabels);
var grayFace = imageFrame.Copy(face).Resize(64, 64, Emgu.CV.CvEnum.Inter.Cubic).Convert <Gray, Byte>();
EigenFaceRecognizer.PredictionResult result = recognizer.Predict(grayFace);
String name;
if (result.Label == 0)
{
name = "????";
}
else
{
name = recordedFaces[result.Label - 1].name;
}
CvInvoke.PutText(imageFrame, name, new Point(face.Location.X + 10, face.Location.Y - 10),
Emgu.CV.CvEnum.FontFace.HersheyComplex, 0.6, new Bgr(0, 255, 0).MCvScalar);
}
}
var profileFaces = cascadeClassifierProfile.DetectMultiScale(greyFrame, 1.1, 10, Size.Empty);
foreach (var face in profileFaces)
{
imageFrame.Draw(face, new Bgr(Color.Yellow), 2);
}
if (detectAUX)
{
var eyes = cascadeClassifierEyes.DetectMultiScale(greyFrame, 1.2, 10, Size.Empty);
foreach (var eye in eyes)
{
imageFrame.Draw(eye, new Bgr(Color.Red), 2);
}
var noses = cascadeClassifierNose.DetectMultiScale(greyFrame, 1.2, 10, Size.Empty);
foreach (var nose in noses)
{
imageFrame.Draw(nose, new Bgr(Color.Black), 2);
}
var mouths = cascadeClassifierMouth.DetectMultiScale(greyFrame, 1.2, 10, Size.Empty);
foreach (var mouth in mouths)
{
imageFrame.Draw(mouth, new Bgr(Color.Purple), 2);
}
}
}
imgCamUser.Image = imageFrame;
}
}
private void ProcessFrame(object sender, EventArgs e)
{
// Step 1: Video Capture
videoCapture.Retrieve(frame, 0);
currentFrame = frame.ToImage <Bgr, Byte>().Resize(picCapture.Width, picCapture.Height, Inter.Cubic);
// Step 2: Face Detection
if (facesDetectionEnabled)
{
// Convert from Bgr to Gray Image
Mat grayImage = new Mat();
CvInvoke.CvtColor(currentFrame, grayImage, ColorConversion.Bgr2Gray);
// Enhance the image to get better result
CvInvoke.EqualizeHist(grayImage, grayImage);
Rectangle[] faces = faceCascadeClassifier.DetectMultiScale(grayImage, 1.1, 3, Size.Empty, Size.Empty);
// If Faces detected
if (faces.Length > 0)
{
// Draw a square around the face
foreach (var face in faces)
{
CvInvoke.Rectangle(currentFrame, face, new Bgr(Color.Red).MCvScalar, 2);
// Step 3: Add Person
// Assign the face to the picture Box face picDetected
Image <Bgr, byte> resultImage = currentFrame.Convert <Bgr, byte>();
resultImage.ROI = face;
picDetected.SizeMode = PictureBoxSizeMode.StretchImage;
picDetected.Image = resultImage.Bitmap;
if (EnableSaveImage)
{
save.setResultImage(resultImage);
}
// Show the results for the trained images
if (isTrained)
{
Image <Gray, Byte> grayFaceResult = resultImage.Convert <Gray, byte>().Resize(200, 200, Inter.Cubic);
//var result = recognizer.Predict(grayFaceResult);
EigenFaceRecognizer.PredictionResult res = recognizer.Predict(grayFaceResult);
pictureBox3.Image = trainingSizedImages[res.Label].Bitmap;
Console.WriteLine(res.Label);
Console.WriteLine(res.Distance);
if (res.Distance < 100000 / 10)
{
CvInvoke.PutText(currentFrame, PersonName[res.Label], new Point(face.X - 2, face.Y - 2),
FontFace.HersheyComplex, 1.0, new Bgr(Color.Orange).MCvScalar);
}
else
{
CvInvoke.PutText(currentFrame, "Unknown", new Point(face.X - 2, face.Y - 2),
FontFace.HersheyComplex, 1.0, new Bgr(Color.Orange).MCvScalar);
}
}
}
}
}
// Render the video capture into the Picturebox Capture
picCapture.Image = currentFrame.Bitmap;
}
