private void ProcessFrame(object sender, EventArgs arg)
{
if (faceRecog.Checked == true)
{
long recpoints;
Image <Bgr, Byte> img = new Image <Bgr, byte>(secondImageBox.Image.Bitmap);
using (Image <Gray, Byte> modelImage = img.Convert <Gray, Byte>())
using (Image <Gray, Byte> observedImage = _capture.RetrieveBgrFrame().Convert <Gray, Byte>())
{
Image <Bgr, byte> result = SurfRecognizer.Draw(modelImage, observedImage, out recpoints);
captureImageBox.Image = observedImage;
if (recpoints > 10)
{
MCvFont f = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_COMPLEX, 1.0, 1.0);
//Draw "Hello, world." on the image using the specific font
result.Draw("Person Recognited, Welcome", ref f, new Point(40, 40), new Bgr(0, 255, 0));
ImageViewer.Show(result, String.Format(" {0} Points Recognited", recpoints));
}
}
}
///////////////////////////////////////////////////////////////////////
if (faceRecog.Checked == false)
{
Image <Bgr, Byte> detectedface;
Image <Bgr, Byte> frame = _capture.RetrieveBgrFrame();
Image <Bgr, Byte> image = frame.Resize(400, 300, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);//Read the files as an 8-bit Bgr image
long detectionTime;
List <Rectangle> faces = new List <Rectangle>();
List <Rectangle> eyes = new List <Rectangle>();
DetectFace.Detect(image, "haarcascade_frontalface_default.xml", "haarcascade_eye.xml", faces, eyes, out detectionTime);
foreach (Rectangle face in faces)
{
image.Draw(face, new Bgr(Color.Red), 2);
image.ROI = face;
detectedface = image;
if (eqHisChecked.Checked == false)
{
secondImageBox.Image = detectedface.Convert <Gray, Byte>().Resize(2, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
}
CvInvoke.cvResetImageROI(image);
}
foreach (Rectangle eye in eyes)
{
image.Draw(eye, new Bgr(Color.Blue), 2);
}
captureImageBox.Image = image;
}
}
private void ProcessFrame2(object sender, EventArgs arg)
{
if (comboBoxCapture.Text == "Camera")
{
image = _capture.RetrieveBgrFrame().Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
}
if (comboBoxCapture.Text == "Single Image")
{
OpenFileDialog Openfile = new OpenFileDialog();
if (Openfile.ShowDialog() == DialogResult.OK)
{
image = new Image <Bgr, byte>(Openfile.FileName);
}
}
List <Rectangle> faces = new List <Rectangle>();
List <Rectangle> eyes = new List <Rectangle>();
long detectionTime;
DetectFace.Detect(image, "haarcascade_frontalface_default.xml", "haarcascade_eye.xml", faces, eyes, out detectionTime);
foreach (Rectangle face in faces)
{
//Image ROI selected as each face in image
if (workCorruptedImages.Checked == true)
{
image.ROI = face;
}
if (faceRecog.Checked == true)
{
//now program apply selected algorithm if recognition has started
//For SURF Algorithm
if (comboBoxAlgorithm.Text == "SURF Feature Extractor")
{
string dataDirectory = Directory.GetCurrentDirectory() + "\\TrainedFaces";
string[] files = Directory.GetFiles(dataDirectory, "*.jpg", SearchOption.AllDirectories);
foreach (var file in files)
{
richTextBox1.Text += file.ToString();
long recpoints;
Image <Bgr, Byte> sampleImage = new Image <Bgr, Byte>(file);
secondImageBox.Image = sampleImage;
using (Image <Gray, Byte> modelImage = sampleImage.Convert <Gray, Byte>())
using (Image <Gray, Byte> observedImage = image.Convert <Gray, Byte>())
{
Image <Bgr, byte> result = SurfRecognizer.Draw(modelImage, observedImage, out recpoints);
//captureImageBox.Image = observedImage;
if (recpoints > 10)
{
MCvFont f = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_COMPLEX, 1.0, 1.0);
result.Draw("Person Recognited, Welcome", ref f, new Point(40, 40), new Bgr(0, 255, 0));
ImageViewer.Show(result, String.Format(" {0} Points Recognited", recpoints));
}
}
}
}
//For EigenFaces
else if (comboBoxAlgorithm.Text == "EigenFaces")
{
CvInvoke.cvResetImageROI(image);
//image._EqualizeHist();
if (eqHisChecked.Checked == true)
{
image._EqualizeHist();
}
var result = eigenFaceRecognizer.Predict(image.Convert <Gray, Byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC));
if (result.Label != -1)
{
image.Draw(eigenlabels[result.Label].ToString(), ref font, new Point(face.X - 2, face.Y - 2), new Bgr(Color.LightGreen));
label6.Text = result.Distance.ToString();
}
}
//For FisherFaces
else if (comboBoxAlgorithm.Text == "FisherFaces")
{
CvInvoke.cvResetImageROI(image);
if (eqHisChecked.Checked == true)
{
image._EqualizeHist();
}
var result = fisherFaceRecognizer.Predict(image.Convert <Gray, Byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC));
if (result.Label != -1)
{
image.Draw(fisherlabels[result.Label].ToString(), ref font, new Point(face.X - 2, face.Y - 2), new Bgr(Color.LightGreen));
label6.Text = result.Distance.ToString();
}
}
//For LBPH
else if (comboBoxAlgorithm.Text == "LBPHFaces")
{
if (eqHisChecked.Checked == true)
{
image._EqualizeHist();
}
var result = lbphFaceRecognizer.Predict(image.Convert <Gray, Byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC));
if (result.Label != -1)
{
CvInvoke.cvResetImageROI(image);
image.Draw(lbphlabels[result.Label].ToString(), ref font, new Point(face.X - 2, face.Y - 2), new Bgr(Color.LightGreen));
label6.Text = result.Distance.ToString();
label7.Text = lbphlabels[result.Label].ToString();
}
}
}
CvInvoke.cvResetImageROI(image);
image.Draw(face, new Bgr(Color.Red), 2);
}
captureImageBox.Image = image;
}