C#+Emgu实现人脸检测
Emgu CV下载地址
http://sourceforge.net/projects/emgucv/files/
找最新的下就行了，傻瓜式安装，选择目录后自动完成安装。
Emgu CV是什么？
Emgu CV是.NET平台下对OpenCV图像处理库的封装，也就是.NET版。可以运行在C#、VB、VC++等。
配置：
1.添加环境变量C:\Emgu\emgucv-windows-x86-gpu 2.4.2.1777\bin
2. 首先需要导入UI插件。
工具——选择工具箱选项
在浏览中定位到Emgu的安装目录bin下，选择Emgu.CV.UI.dll
3.在引用中添加dll调用，分别是Emgu.CV.dll和Emgu.CV.ML.dll和Emgu.CV.UI.dll和Emgu.Util.dll以及ZedGraph.dll
4.将C:\Emgu\emgucv-windows-x86-gpu 2.4.2.1777\bin\x86目录下的所有dll文件拷贝到工程目录的debug下。
写代码：
在imageprocess的基础上做修改
1.读入图片：
Image<Bgr, byte>image;
image = new Image<Bgr,byte>(curFileName);
private void open_Click(object sender, EventArgse)
{
OpenFileDialogopnDlg =newOpenFileDialog();
opnDlg.Filter = "所有图像文件 | *.bmp; *.pcx; *.png; *.jpg;*.gif;" +
"*.tif;*.ico; *.dxf; *.cgm; *.cdr; *.wmf; *.eps; *.emf|" +
"位图( *.bmp; *.jpg; *.png;...) | *.bmp;*.pcx; *.png; *.jpg; *.gif; *.tif; *.ico|" +
"矢量图( *.wmf; *.eps; *.emf;...) | *.dxf;*.cgm; *.cdr; *.wmf; *.eps; *.emf";
opnDlg.Title = "打开图像文件";
opnDlg.ShowHelp = true;
if(opnDlg.ShowDialog() ==DialogResult.OK)
{
imgFormsForm =newimgForm();
sForm.MdiParent = this;
stringcurFileName = opnDlg.FileName;
sForm.CurFileName =curFileName;
Image<Bgr,byte> image;
try
{
image = new Image<Bgr,byte>(curFileName);
sForm.CurImage = image;
//设置窗口尺寸
sForm.ClientSize = new System.Drawing.Size(image.Width,image.Height);
//设置窗口标题
sForm.Text = curFileName;
sForm.Name = curFileName;
}
catch(Exception exp)
{
MessageBox.Show(exp.Message);
}
//sForm.ShowDialog();
sForm.Show();
sForm.Invalidate();
}
if(this.MdiChildren.Length > 0)
{
this.save.Enabled=true;
}
}
2.显示图片：
private voidimgForm_Paint(object sender, PaintEventArgs e)
{
if(image != null)
{
imageBox1.Width = image.Width;
imageBox1.Height =image.Height;
imageBox1.Image = image;
}
}
3.人脸检测：
privateImage<Bgr,byte> image;
privatestring haarXmlPath ="E:\\FrontalFace10\\haarcascade_frontalface_alt_tree.xml";
privateCascadeClassifier haar =null;
List<PictureBox> faceHistory =newList<PictureBox>();
private void initiateHaar(stringfileName)
{
if(haar != null)
return;
showMessage("Loading HaarCascade data...");
haar = newHaarCascade(fileName);
showMessage("HaarCascadedata loaded.");
}
// analyzeone frame
privateMCvAvgComp[] getFaces(Image<Bgr,byte> img,HaarCascadehaar)
{
if(haar == null || img == null)
returnnull;
MCvAvgComp[]faces = haar.Detect(img.Convert<Gray,byte>(), 1.4, 1, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,newSize(20, 20));
if(faces != null)
{
resultText.Text = string.Format("Found{0} face(s).", faces.Length);
}
returnfaces;
}
// mark faces
privatevoid markFaces(MCvAvgComp[]faces)
{
foreach(MCvAvgComp faceinfaces)
{
currentImage.Draw(face.rect, new Bgr(Color.Lime), 2);
PictureBoxpic =newPictureBox();
pic.Image =currentImage.Copy(face.rect).ToBitmap();
pic.Width = pic.Image.Width;
pic.Height = pic.Image.Height;
faceHistory.Add(pic);
}
imageBox.Image = currentImage;
}