public Image<Bgr, Byte> FaceDetection(Image Image)
{
face = new HaarCascade("haarcascade_frontalface_default.xml");
Utility UTl = new Utility();
//Get the current frame form capture device
Image<Bgr, Byte> currentFrame = UTl.ImageToBgrByte(Image);
//Convert it to Grayscale
gray = currentFrame.Convert<Gray, Byte>();
//Face Detector
MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(face,1.2,10,Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,new Size(20, 20));
//Action for element detected
try
{
MCvAvgComp f = facesDetected[0][0];
result = currentFrame.Copy(f.rect).Convert<Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
//draw the face detected in the 0th (gray) channel with blue color
currentFrame.Draw(f.rect, new Bgr(Color.White), 2);
}
catch (Exception ex)
{
MessageBox.Show("Camera Error: Empty frames arrived" + ex.Message.ToString(), "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
return currentFrame;
}
public Image <Bgr, Byte> FaceDetection(Image Image)
{
face = new HaarCascade("haarcascade_frontalface_default.xml");
Utility UTl = new Utility();
//Get the current frame form capture device
Image <Bgr, Byte> currentFrame = UTl.ImageToBgrByte(Image);
//Convert it to Grayscale
gray = currentFrame.Convert <Gray, Byte>();
//Face Detector
MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(face, 1.2, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(20, 20));
//Action for element detected
try
{
MCvAvgComp f = facesDetected[0][0];
result = currentFrame.Copy(f.rect).Convert <Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
//draw the face detected in the 0th (gray) channel with blue color
currentFrame.Draw(f.rect, new Bgr(Color.White), 2);
}
catch (Exception ex)
{
MessageBox.Show("Camera Error: Empty frames arrived" + ex.Message.ToString(), "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
return(currentFrame);
}
