运行环境：.net 4.0， wpf
包管理控制台安装EmguCV
public void openCamera() { if(capture == null) { capture = new Capture(0); } } 打开摄像头方法，Capture 表示摄像头对象，Capure(0)表示打开检测到的第一个摄像头 public ImageSource getImage() { try { Mat mat = capture.QueryFrame(); return ImageConverterL.ToBitmapSource(mat.Bitmap); } catch(Exception) { return null; } } 获取摄像头捕获到的图像，然后再Bitmap对象转换成wpf 下<Image/>可用的ImageSource对象public CameraInfo identifyFace() { CameraInfo info = new CameraInfo(); using(Mat mat = capture.QueryFrame()) { List<Rectangle> faces = getFaceRectangle(mat); if (faces.Count <= 0) { info.isHasFace = false; } else { // 绘制人脸 using (Graphics g = Graphics.FromImage(mat.Bitmap)) { foreach (Rectangle face in faces) { g.DrawRectangle(new System.Drawing.Pen(System.Drawing.Color.Red, 2), face);//给识别出的人脸画矩形框 } } info.isHasFace = true; } info.mat = mat; info.imagesSource = ImageConverterL.ToBitmapSource(mat.Bitmap); return info; } } getFaceRectangle()是对捕获到的图像进行人脸检测，返回人脸矩形框列表，然后将矩形绘制到图像中 private List<Rectangle> getFaceRectangle(Mat mat) { List<Rectangle> faces = new List<Rectangle>(); try { using (UMat ugray = new UMat()) { CvInvoke.CvtColor(mat, ugray, Emgu.CV.CvEnum.ColorConversion.Bgr2Gray);//灰度化图片 CvInvoke.EqualizeHist(ugray, ugray);//均衡化灰度图片 Rectangle[] facesDetected = faceClassifier.DetectMultiScale(ugray, 1.1, 10, new System.Drawing.Size(20, 20)); faces.AddRange(facesDetected); } } catch (Exception) { } return faces; } 获取人脸矩形列表 class ImageConverterL { /// <summary> /// Delete a GDI object /// </summary> /// <param name="o">The poniter to the GDI object to be deleted</param> /// <returns></returns> [DllImport("gdi32")] private static extern int DeleteObject(IntPtr o); public static BitmapSource ToBitmapSource(Bitmap image) { IntPtr ptr = image.GetHbitmap(); BitmapSource bs = System.Windows.Interop.Imaging.CreateBitmapSourceFromHBitmap(ptr, IntPtr.Zero, Int32Rect.Empty, System.Windows.Media.Imaging. BitmapSizeOptions. FromEmptyOptions()); DeleteObject(ptr); return bs; } } 转换Bitmap为ImageSource
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人脸对比识别还在剥离中，原项目中用到的是从身份证获取图片源
