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;
} }