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效果

代码 

using OpenCvSharp;

namespace OPenCVDemo
{
    class Program
    {
        static void Main(string[] args)
        {
            // Load the cascades
            var haarCascade = new CascadeClassifier("haarcascade_frontalface_default.xml");
            var lbpCascade = new CascadeClassifier("lbpcascade_frontalface.xml");

            // Detect faces
            Mat haarResult = DetectFace(haarCascade);

            Mat lbpResult = DetectFace(lbpCascade);

            Cv2.ImShow("Faces by Haar", haarResult);

            Cv2.ImShow("Faces by LBP", lbpResult);

            Cv2.WaitKey(0);
            Cv2.DestroyAllWindows();


        }

        static private Mat DetectFace(CascadeClassifier cascade)
        {
            Mat result;

            using (var src = new Mat("3.jpg", ImreadModes.Color))
            using (var gray = new Mat())
            {
                result = src.Clone();
                Cv2.CvtColor(src, gray, ColorConversionCodes.BGR2GRAY);

                // Detect faces
                Rect[] faces = cascade.DetectMultiScale(
                    gray, 1.08, 2, HaarDetectionType.ScaleImage, new Size(30, 30));

                // Render all detected faces
                foreach (Rect face in faces)
                {
                    var center = new Point
                    {
                        X = (int)(face.X + face.Width * 0.5),
                        Y = (int)(face.Y + face.Height * 0.5)
                    };
                    var axes = new Size
                    {
                        Width = (int)(face.Width * 0.5),
                        Height = (int)(face.Height * 0.5)
                    };
                    Cv2.Ellipse(result, center, axes, 0, 0, 360, new Scalar(255, 0, 255), 4);
                }
            }
            return result;
        }
    }
}

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