[Winform]基于Emgu.CV人脸识别

摘要

“OpenCV是一个开源的计算机视觉库。OpenCV采用C/C++语言编写，可以运行在Linux/Windows/Mac等操作系统上。OpenCV还提供了Python、Ruby、MATLAB以及其他语言的接口。OpenCV的一个目标是构建一个简单易用的计算机视觉框架，以帮助开发人员更便捷地设计更复杂得计算机视觉相关应用程序。OpenCV包含的函数有500多个，覆盖了计算机视觉的许多应用。

Emgu

Emgu CV是将OpenCV使用.net编程语言（C#）封装成的.net库，使用Emgu CV就可以在.net平台上调用OpenCV的功能，同时，Emgu CV也是开源的。

Emgu CV官网：http://www.emgu.com

从官网上你可以下载最新版本，我采用的是3.2.0.2682版本的。

安装成功之后，打开目录

打开解决方案，你可以看到很多demo，可以根据自己需求研究下

新建winform程序，添加引用，Emgu安装目录下的dll

并将所需的文件从Emgu的bin目录下拷贝到你的程序debug下

测试核心代码

  public partial class MainFrm : Form
    {
        /// <summary>
        /// 摄像头
        /// </summary>
        private VideoCapture _capture = null;
        private Mat _frame;
        private string _exePath = AppDomain.CurrentDomain.BaseDirectory;
        private string _trainedFacePath = string.Empty;
        /// <summary>
        /// 3.5s 保存一次图片
        /// </summary>
        private const double Interval = 3.5;
        long detectionTime;
        List<Rectangle> faces = new List<Rectangle>();
        List<Rectangle> eyes = new List<Rectangle>();
        /// <summary>
        /// 上次保存图片时间
        /// </summary>
        private DateTime _lastSaveDt = DateTime.Now;
        /// <summary>
        /// 窗口坐标
        /// </summary>
        private Point _frmPoint;
        /// <summary>
        /// 是否抓取到人脸
        /// </summary>
        private bool _isHavePersonFace = false;
        public MainFrm()
        {
            InitializeComponent();
            this.TopMost = true;
            CheckForIllegalCrossThreadCalls = false;
            _frmPoint = new Point();
        }

        private void MainFrm_Load(object sender, EventArgs e)
        {
            //无边框
            this.FormBorderStyle = System.Windows.Forms.FormBorderStyle.None;
            //不出现在任务栏
            this.ShowInTaskbar = false;
            //去掉滑轮放大或者缩小
            this.VideoImageBox.Enabled = false;
            this.MouseDown += MainFrm_MouseDown;
            this.MouseMove += MainFrm_MouseMove;

            _trainedFacePath = _exePath + "trainedfaces";
            this.Location = new Point(Screen.PrimaryScreen.WorkingArea.Width - this.Width - ,
 Screen.PrimaryScreen.WorkingArea.Height - this.Height);
            if (!Directory.Exists(_trainedFacePath))
            {
                Directory.CreateDirectory(_trainedFacePath);
            }
            CvInvoke.UseOpenCL = false;
            try
            {
                _capture = new VideoCapture();
                _frame = new Mat();
                _capture.ImageGrabbed += ProcessFrame;
                _capture.Start();

            }
            catch (NullReferenceException excpt)
            {
                MessageBox.Show(excpt.Message);
            }
        }

        void MainFrm_MouseMove(object sender, MouseEventArgs e)
        {
            if (e.Button == MouseButtons.Left)
            {
                Point myPosittion = MousePosition;
                myPosittion.Offset(-_frmPoint.X, -_frmPoint.Y);
                Location = myPosittion;
            }
        }

        void MainFrm_MouseDown(object sender, MouseEventArgs e)
        {
            _frmPoint.X = e.X;
            _frmPoint.Y = e.Y;
        }

        private void ReleaseData()
        {
            if (_capture != null)
                _capture.Dispose();

        }
        private void ProcessFrame(object sender, EventArgs e)
        {

            if (_capture != null && _capture.Ptr != IntPtr.Zero)
            {
                bool isOk = _capture.Retrieve(_frame, );
                VideoImageBox.Image = _frame;
                if (isOk && !_isHavePersonFace)
                {

                    Run(_frame);
                }
            }
        }
        private void UploadFile(string filePath)
        {

            try
            {
                FileInfo file = new FileInfo(filePath);
                FileLogHelper.WriteFileLog(file.Name);

            }
            catch (Exception ex)
            {
                FileLogHelper.WriteFileLog(ex);
            }

        }

        private void Run(Mat mat)
        {
            IImage image = mat;
            DetectFace.Detect(
                  image, "haarcascade_frontalface_default.xml", "haarcascade_eye.xml",
                  faces, eyes,
                  out detectionTime);
            string fileName = DateTime.Now.ToString("yyyyMMddHHmmssfff") + ".jpg";
            string path = Path.Combine(_trainedFacePath, fileName);

            foreach (Rectangle face in faces)
            {
                try
                {
                    _isHavePersonFace = true;
                    CvInvoke.Rectangle(image, face, new Bgr(Color.Red).MCvScalar, );
                    using (Bitmap bm = new Bitmap(face.Width, face.Height))
                    using (Graphics g = Graphics.FromImage(bm))
                    {
                        g.DrawImage(image.Bitmap, new Rectangle(, , face.Width, face.Height), 
new Rectangle(face.X + , face.Y + , face.Width - , face.Height - ), GraphicsUnit.Pixel);
                        bm.Save(path, System.Drawing.Imaging.ImageFormat.Jpeg);
                    }
                    break;

                }
                catch (Exception ex)
                {
                    FileLogHelper.WriteFileLog(ex);
                }
            }

            _isHavePersonFace = false;
        }

    }