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   源码介绍

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首先拍照保存当前用户名称，然后 自动识别人脸 是哪位用户

 private void button2_Click(object sender, System.EventArgs e)
        {
            try
            {
                //Trained face counter
                ContTrain = ContTrain 1;

                //Get a gray frame from capture device
                gray = grabber.QueryGrayFrame().Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);

                //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 each element detected
                foreach (MCvAvgComp f in facesDetected[0])
                {
                    TrainedFace = currentFrame.Copy(f.rect).Convert<Gray, byte>();
                    break;
                }

                //resize face detected image for force to compare the same size with the 
                //test image with cubic interpolation type method
                TrainedFace = result.Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
                trainingImages.Add(TrainedFace);
                labels.Add(textBox1.Text);

                //Show face added in gray scale
                imageBox1.Image = TrainedFace;

                //Write the number of triained faces in a file text for further load
                File.WriteAllText(Application.StartupPath "/TrainedFaces/TrainedLabels.txt", trainingImages.ToArray().Length.ToString() "%");

                //Write the labels of triained faces in a file text for further load
                for (int i = 1; i < trainingImages.ToArray().Length 1; i )
                {
                    trainingImages.ToArray()[i - 1].Save(Application.StartupPath "/TrainedFaces/face" i ".bmp");
                    File.AppendAllText(Application.StartupPath "/TrainedFaces/TrainedLabels.txt", labels.ToArray()[i - 1] "%");
                }

                MessageBox.Show(textBox1.Text "´s face detected and added :)", "Training OK", MessageBoxButtons.OK, MessageBoxIcon.Information);
            }
            catch
            {
                MessageBox.Show("Enable the face detection first", "Training Fail", MessageBoxButtons.OK, MessageBoxIcon.Exclamation);
            }
        }